# Model context protocol

> Search results for `model context protocol` on awesome-repositories.com. 118 total matches; showing the first 50.

Explore on the web: https://awesome-repositories.com/q/model-context-protocol

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## Results

- [davila7/claude-code-templates](https://awesome-repositories.com/repository/davila7-claude-code-templates.md) (20,933 ⭐) — Claude Code Templates is a comprehensive framework for orchestrating specialized AI agents and automating development workflows within local environments. It provides a structured system for defining, configuring, and deploying AI personas that handle specific technical tasks, ranging from backend architecture and frontend implementation to security auditing and infrastructure management.

The project distinguishes itself through a configuration-driven approach that allows teams to standardize development environments and share reusable agent definitions across projects. It includes a robust C
- [ahujasid/blender-mcp](https://awesome-repositories.com/repository/ahujasid-blender-mcp.md) (17,168 ⭐) — This project is a Model Context Protocol server that functions as an automation tool for 3D design software. It acts as a bridge between creative applications and external intelligence agents, enabling users to manipulate geometry, materials, and lighting through natural language instructions.

The tool distinguishes itself by providing a standardized interface for remote command execution and scene data exchange. By utilizing a protocol-based communication layer, it allows external models to query viewport status and object properties, facilitating automated decision-making and real-time scen
- [christophenglisch/keycloak-model-context-protocol](https://awesome-repositories.com/repository/christophenglisch-keycloak-model-context-protocol.md) (45 ⭐) — A Model Context Protocol server for Keycloak administration, providing tools to manage users and realms.
- [infisical/infisical](https://awesome-repositories.com/repository/infisical-infisical.md) (27,374 ⭐) — Infisical is a centralized secrets management platform designed to store, synchronize, and control access to sensitive credentials and configuration data across distributed development, staging, and production environments. It employs client-side encryption to ensure that secrets remain unreadable to the underlying storage infrastructure, while providing a hierarchical permission model to govern both user and machine access.

The platform distinguishes itself through dynamic credential provisioning, which generates short-lived access tokens that are automatically revoked after use. It supports
- [pollinations/model-context-protocol](https://awesome-repositories.com/repository/pollinations-model-context-protocol.md) (0 ⭐)
- [up9inc/mizu](https://awesome-repositories.com/repository/up9inc-mizu.md) (11,958 ⭐) — Mizu is a suite of tools for capturing, indexing, and visualizing cloud-native network traffic and decrypted payloads for cluster-wide diagnostics. It provides Kubernetes network observability by using eBPF to index and visualize layer 4 and layer 7 traffic with full cluster context, allowing for the mapping of workload dependencies and the diagnosis of network failures.

The project distinguishes itself by using kernel-level hooks to decrypt TLS traffic in plain text without requiring private keys. It further integrates a standardized context protocol to expose indexed network telemetry to AI
- [modelcontextprotocol/servers](https://awesome-repositories.com/repository/modelcontextprotocol-servers.md) (87,320 ⭐) — The Model Context Protocol is a standardized communication framework designed to connect language models to external data sources, functional tools, and interactive user interfaces. It provides a vendor-neutral interface layer that enables AI hosts to discover and execute capabilities across heterogeneous service environments, using a JSON-RPC based messaging standard to facilitate bidirectional communication between clients and servers.

The protocol distinguishes itself through a robust capability-based handshake that negotiates feature sets during session initialization, ensuring compatibil
- [mindsdb/mindsdb](https://awesome-repositories.com/repository/mindsdb-mindsdb.md) (39,313 ⭐) — MindsDB is an AI-native database engine that treats machine learning models and autonomous agents as virtual tables. By mapping external data sources, predictive models, and third-party services directly into the database schema, it enables users to perform inference, data retrieval, and complex orchestration using standard SQL syntax.

The platform distinguishes itself through an autonomous agent orchestrator that executes iterative reasoning loops, allowing agents to plan data access and synthesize natural language responses from connected knowledge bases. It functions as a federated data ga
- [langchain-ai/langchain-mcp-adapters](https://awesome-repositories.com/repository/langchain-ai-langchain-mcp-adapters.md) (3,366 ⭐) — This project provides a translation layer and set of adapters designed to bridge AI agents with the Model Context Protocol. It functions as an integration layer that allows agents to operate as protocol-compliant servers and enables the conversion of protocol-based tools into formats compatible with agent frameworks and logic graphs.

The adapters facilitate tool interoperability by wrapping external protocol tools for use within agent workflows and exposing internal agent capabilities to any client implementing the Model Context Protocol. This creates a communication bridge that supports inte
- [aws-samples/sample-model-context-protocol-demos](https://awesome-repositories.com/repository/aws-samples-sample-model-context-protocol-demos.md) (0 ⭐) — Collection of examples of how to build Agentic AI with AWS, including Model Context Protocol.
- [eon01/dockercheatsheet](https://awesome-repositories.com/repository/eon01-dockercheatsheet.md) (3,938 ⭐) — This project is a comprehensive reference guide and cheat sheet for the Docker CLI. It provides a structured collection of commands and documentation to help users manage container lifecycles, build images, and handle registries.

The documentation specifically covers the orchestration of multi-container applications using Docker Compose and the management of scalable services across multiple nodes via Docker Swarm. It also includes detailed guides for configuring virtual networks, bridges, and ports to control container communication.

The reference surface extends to container image administ
- [transitive-bullshit/chatgpt-api](https://awesome-repositories.com/repository/transitive-bullshit-chatgpt-api.md) (18,117 ⭐) — This project is a tool for integrating existing HTTP APIs with AI agents by translating standard web endpoints into the Model Context Protocol. It provides a framework for constructing and managing libraries of functions that allow large language models to execute tasks and retrieve data.

The system functions as an AI gateway that manages tool hosting, authentication, and routing. It includes capabilities for monetizing tool access through usage-based billing and payment processor integration, as well as the ability to publish service definitions to a gateway for commercial productization.

T
- [nguyenvanduocit/all-in-one-model-context-protocol](https://awesome-repositories.com/repository/nguyenvanduocit-all-in-one-model-context-protocol.md) (102 ⭐) — 🚀 All-in-one MCP server with AI search, RAG, and multi-service integrations (GitLab/Jira/Confluence/YouTube) for AI-enhanced development workflows
- [cyberchitta/llm-context.py](https://awesome-repositories.com/repository/cyberchitta-llm-context-py.md) (301 ⭐) — Share code with LLMs via Model Context Protocol or clipboard. Rule-based customization enables easy switching between different tasks (like code review and documentation). Includes smart code outlining.
- [casey/just](https://awesome-repositories.com/repository/casey-just.md) (34,302 ⭐) — This project is a command-line task runner designed to manage project-specific workflows through a centralized, configuration-driven interface. It functions as a declarative tool for organizing build logic, environment variables, and task dependencies into a structured format, enabling the automation of complex development pipelines.

The tool distinguishes itself by providing a shell-agnostic execution layer that ensures consistent behavior across Windows, macOS, and Linux. It supports advanced workflow orchestration by constructing directed acyclic graphs to manage task prerequisites, while
- [mcp-use/mcp-use](https://awesome-repositories.com/repository/mcp-use-mcp-use.md) (10,137 ⭐) — mcp-use is a development framework designed for building, deploying, and managing servers, clients, and autonomous agents using the Model Context Protocol. It provides a comprehensive toolkit for creating servers that expose custom tools, data resources, and prompts to compatible AI agents.

The project distinguishes itself by offering a complete lifecycle for protocol-based applications, including a dedicated hosting platform for production servers and a compliance validator to ensure servers meet marketplace publishing requirements. It also features an observability suite for tracing protoco
- [dbeaver/cloudbeaver](https://awesome-repositories.com/repository/dbeaver-cloudbeaver.md) (4,951 ⭐) — CloudBeaver is a web-based database manager and cloud database IDE that provides a centralized browser interface for administering SQL and NoSQL databases. It functions as a multi-database administration tool and an RBAC database access gateway, allowing users to manage diverse relational and document-based database engines through a single server-based installation.

The platform distinguishes itself by integrating an artificial intelligence assistant for natural language SQL generation and optimization. It further supports collaborative data engineering by coordinating database operations ac
- [davidkimai/context-engineering](https://awesome-repositories.com/repository/davidkimai-context-engineering.md) (8,431 ⭐) — Context-Engineering is a prompt engineering framework and cognitive architecture for large language models. It provides a set of patterns and methodologies for designing structured prompts and modular reasoning flows that decompose complex tasks into specialized, step-by-step problem solving templates.

The project distinguishes itself through stateful prompt management and context window optimization. It maintains persistent memory across multiple interaction turns by compressing conversation history into compact internal state cells and employs techniques to maximize information density per
- [erikbjare/gptme](https://awesome-repositories.com/repository/erikbjare-gptme.md) (4,334 ⭐) — gptme is a multi-agent orchestration platform designed for autonomous software engineering, terminal-based AI integration, and RAG-enhanced code navigation. It enables the deployment of persistent agents and specialized subagents to decompose complex tasks and execute parallel technical workflows.

The system distinguishes itself through a combination of vision-based GUI automation for controlling desktop applications and surgical patching mechanisms for targeted source code modifications. It utilizes git-based memory management to maintain a versioned history of agent identities, lessons, and
- [mksglu/context-mode](https://awesome-repositories.com/repository/mksglu-context-mode.md) (17,558 ⭐) — This project provides a system for managing agent context and session memory, featuring an agent context compactor, an AI session memory manager, and a tool output sandbox. It functions as a middleware layer and server extension for the Model Context Protocol to optimize context windows and reduce token usage.

The system optimizes agent performance by sandboxing tool outputs and externalizing large data sets, replacing raw I/O with pointers and concise summaries. It employs a persistent knowledge base that indexes session history and tool outputs for retrieval via full-text search, ensuring s
- [jetify-com/devbox](https://awesome-repositories.com/repository/jetify-com-devbox.md) (12,105 ⭐) — Devbox is a development environment orchestrator designed to create reproducible, isolated workspaces for software projects. By leveraging declarative configuration files and the Nix package manager, it ensures that project dependencies, environment variables, and tooling remain consistent across different machines and team members. It functions as a central manager for project-specific environments, providing isolated shell execution that prevents conflicts with host system software.

The project distinguishes itself through its ability to bridge local development and cloud-hosted infrastruct
- [jundot/omlx](https://awesome-repositories.com/repository/jundot-omlx.md) (17,112 ⭐) — omlx is a local inference server designed to run large language models, vision models, and embedding models on Apple Silicon. It provides a private alternative to industry-standard AI endpoints by hosting a local API gateway that mirrors OpenAI and Anthropic specifications.

The system distinguishes itself through specialized hardware optimizations, including continuous batching for high throughput and a tiered caching system that offloads memory blocks to SSD. It also functions as a Model Context Protocol host, enabling the integration of local models with external tools, agents, and structur
- [rtroncoso/laravel-context](https://awesome-repositories.com/repository/rtroncoso-laravel-context.md) (51 ⭐) — Laravel Context
- [kilo-org/kilocode](https://awesome-repositories.com/repository/kilo-org-kilocode.md) (15,616 ⭐) — Kilocode is an autonomous engineering platform designed to orchestrate AI agents for complex software development tasks. It functions as a comprehensive system for automating coding, testing, and repository management by integrating directly with your codebase and terminal. The platform provides a unified gateway for model orchestration, allowing for the management of agentic workflows, event-driven automation, and persistent session state across distributed development environments.

The platform distinguishes itself through its federated task management and policy-based access control, which
- [esengine/deepseek-reasonix](https://awesome-repositories.com/repository/esengine-deepseek-reasonix.md) (24,096 ⭐) — DeepSeek-Reasonix is an autonomous software engineering framework and terminal-based AI IDE designed to coordinate large language models for complex programming tasks. It functions as a multi-session agent that utilizes a split planner and executor workflow to break down and implement technical objectives.

The system distinguishes itself through a specialized focus on session optimization and extensibility. It employs prefix caching and append-only history to reduce token consumption and latency during long sessions. It further extends its capabilities by integrating external tool servers via
- [livekit/livekit](https://awesome-repositories.com/repository/livekit-livekit.md) (19,358 ⭐) — LiveKit is a comprehensive framework for building and orchestrating real-time, multimodal AI agents that interact with users through voice, video, and text. It provides a centralized, event-driven architecture to manage the entire lifecycle of automated participants, from initialization and session state management to graceful shutdown. By utilizing a selective forwarding unit, the platform efficiently routes media streams between participants and agents, ensuring low-latency communication and secure, token-based authentication for all connections.

The platform distinguishes itself through it
- [zipstack/unstract](https://awesome-repositories.com/repository/zipstack-unstract.md) (6,669 ⭐) — Unstract is an unstructured data extraction system and ETL pipeline orchestrator that uses large language models to convert documents, images, and scans into structured JSON. It provides a document extraction API for integrating these capabilities into external automation tools and includes a Model Context Protocol server to connect AI agents to structured information retrieval.

The system ensures data accuracy through a verification tool featuring dual-model verification and human-in-the-loop review with coordinate-based document highlighting. It utilizes natural language extraction schemas
- [darky/context-fp](https://awesome-repositories.com/repository/darky-context-fp.md) (2 ⭐) — Microscopic functional programming context for TypeScript
- [modelcontextprotocol/go-sdk](https://awesome-repositories.com/repository/modelcontextprotocol-go-sdk.md) (4,716 ⭐) — This is a software development kit and framework for implementing the Model Context Protocol in Go. It provides a standardized system for building servers and clients that exchange external resources, proprietary data, and executable tools to provide context for large language models.

The SDK includes a JSON-RPC communication library and an integration framework to expose local data, prompt templates, and typed functions to AI models. It enables the development of both protocol servers that provide external context and clients that consume these remote tools and resources.

The project covers
- [pollinations/pollinations](https://awesome-repositories.com/repository/pollinations-pollinations.md) (4,009 ⭐) — Pollinations is a generative AI content platform and model gateway that provides a unified multimodal API for producing text, images, audio, and video. It functions as an AI monetization framework, managing user wallets, spending limits, and revenue sharing for applications that integrate generative tasks.

The platform includes a specialized web generator that transforms natural language prompts into functional single-page websites. It distinguishes itself by offering a stateless public API that allows for the generation of media and text via HTTP requests without requiring user authenticatio
- [snu-mllab/context-memory](https://awesome-repositories.com/repository/snu-mllab-context-memory.md) (63 ⭐) — Pytorch implementation for "Compressed Context Memory For Online Language Model Interaction" (ICLR'24)
- [ddd-crew/context-mapping](https://awesome-repositories.com/repository/ddd-crew-context-mapping.md) (1,810 ⭐) — Context Maps describe the contact between bounded contexts and teams with a collection of patterns. There are nine context map patterns and three different team relationships. The context map patterns describe a variety of perspectives like service provisioning, model propagation or governance…
- [appwrite/sdk-for-react-native](https://awesome-repositories.com/repository/appwrite-sdk-for-react-native.md) (4,274 ⭐) — This is a Backend-as-a-Service SDK for React Native, providing a library to integrate mobile applications with backend services. It serves as a client for managing user authentication, cloud databases, and remote file storage within a mobile environment.

The SDK enables mobile developers to implement secure login flows using OAuth, email, and phone verification. It includes a database client for performing CRUD operations on structured data and a storage client for uploading and retrieving binary assets from remote cloud buckets. Additionally, it features a WebSocket-based interface to receiv
- [patchy631/ai-engineering-hub](https://awesome-repositories.com/repository/patchy631-ai-engineering-hub.md) (35,826 ⭐) — This project serves as an educational resource and technical guide for building production-ready intelligent systems. It provides a collection of hands-on tutorials, blueprints, and documentation focused on the development of applications powered by large language models, autonomous agentic workflows, and retrieval-augmented generation.

The repository distinguishes itself by offering structured implementations for multi-agent orchestration and standardized communication protocols. It enables developers to integrate external tools and data sources into their systems, ensuring interoperability
- [webtorrent/bittorrent-protocol](https://awesome-repositories.com/repository/webtorrent-bittorrent-protocol.md) (357 ⭐) — [travis-image]: https://img.shields.io/travis/webtorrent/bittorrent-protocol/master.svg [travis-url]: https://travis-ci.org/webtorrent/bittorrent-protocol [npm-image]: https://img.shields.io/npm/v/bittorrent-protocol.svg [npm-url]: https://npmjs.org/package/bittorrent-protocol [downloads-image]:…
- [smallcloudai/refact](https://awesome-repositories.com/repository/smallcloudai-refact.md) (3,490 ⭐) — Refact is an autonomous AI software engineering system and code assistant. It functions as an agent orchestrator capable of planning, executing, and managing multi-step development workflows to complete complex software tasks independently.

The system distinguishes itself through agentic state management, using isolated worktrees and versioned checkpoints to allow autonomous agents to experiment with code changes and roll back to stable states if tasks fail. It further extends its capabilities via the Model Context Protocol, connecting the AI engine to external databases, version control syst
- [marmot-protocol/marmot](https://awesome-repositories.com/repository/marmot-protocol-marmot.md) (117 ⭐) — The Marmot Protocol is a messaging protocol that specifies how to do efficient end-to-end encrypted group messaging using Nostr's decentralized identity & relay network combined with the MLS Protocol.
- [xpzouying/xiaohongshu-mcp](https://awesome-repositories.com/repository/xpzouying-xiaohongshu-mcp.md) (14,204 ⭐) — This project is a Model Context Protocol server that connects large language models to the Xiaohongshu social media platform. It acts as a connector and API wrapper, enabling language models to programmatically search, read, and publish media and text.

The system provides automation for content discovery and publishing, allowing for the creation of image and video posts with associated titles and descriptions. It also facilitates social engagement by managing the posting of comments and tracking engagement metrics for specific entries.

The tool covers data retrieval for user profiles, post d
- [appwrite/appwrite](https://awesome-repositories.com/repository/appwrite-appwrite.md) (56,318 ⭐) — Appwrite is a backend-as-a-service platform that provides a unified development environment for building full-stack applications. It integrates essential infrastructure components—including authentication, databases, storage, and serverless functions—into a single, centralized interface to simplify application development and resource management.

The platform distinguishes itself through a container-based microservices architecture that ensures consistent execution across diverse infrastructure. It features a versatile connectivity layer that links frontend applications with third-party servi
- [inngest/inngest](https://awesome-repositories.com/repository/inngest-inngest.md) (5,499 ⭐) — Inngest is a durable execution framework and event-driven automation engine designed to orchestrate background workflows. It enables developers to build resilient, stateful processes by memoizing function steps, ensuring that long-running tasks can automatically resume from the last successful operation after failures, timeouts, or infrastructure restarts.

The platform distinguishes itself through its event-driven architecture, which uses a schema-validated bus to trigger functions and coordinate complex, multi-step logic. It employs an onion-model middleware approach for cross-cutting concer
- [hmbown/codewhale](https://awesome-repositories.com/repository/hmbown-codewhale.md) (38,468 ⭐) — CodeWhale is an AI coding agent orchestrator and development harness designed to coordinate autonomous agents that read, edit, and verify code. It provides a secure environment for AI agents to perform multi-step software engineering tasks, utilizing a sandboxed execution model to isolate shell commands and protect the host system.

The system distinguishes itself by spawning multiple independent agents in parallel to handle separate investigation or implementation slices simultaneously. It employs a multi-model gateway to route requests across various cloud APIs and local servers, and utilize
- [yuezhouhu/residual-context-diffusion](https://awesome-repositories.com/repository/yuezhouhu-residual-context-diffusion.md) (58 ⭐) — Residual Context Diffusion (RCD) Unleashing the Potential of Diffusion LLMs via Residual Denoising Project Page | arXiv | Models
- [andrewyng/aisuite](https://awesome-repositories.com/repository/andrewyng-aisuite.md) (14,692 ⭐) — This project is a framework for managing generative AI services through a unified provider interface and adapter layer. It provides a standardized API for calling multiple cloud-based and locally hosted models, translating provider-specific parameters and responses into a uniform format.

The system includes an agent orchestrator designed for long-running tasks, featuring state persistence for resuming runs and execution tracing to monitor decision-making processes. It integrates the Model Context Protocol to connect models to external servers and filesystems and employs a policy-based executi
- [zilliztech/claude-context](https://awesome-repositories.com/repository/zilliztech-claude-context.md) (5,373 ⭐) — Claude-context is a retrieval-augmented generation pipeline and semantic code search tool. It functions as an LLM codebase indexer and RAG context provider, designed to index local directories and retrieve relevant code files to provide context for large language models.

The system operates as a hybrid search engine that combines keyword matching with dense vector search. This allows for the retrieval of code snippets and logic using natural language queries based on meaning rather than exact text matches.

The project covers codebase indexing and search index management, utilizing asynchrono
- [excalidraw/excalidraw-mcp](https://awesome-repositories.com/repository/excalidraw-excalidraw-mcp.md) (2,566 ⭐) — Excalidraw MCP is a Model Context Protocol server that integrates Excalidraw's diagramming capabilities directly into AI chat interfaces. It enables AI assistants to generate, display, and manipulate interactive Excalidraw diagrams as part of conversational workflows.

The server provides real-time streaming of hand-drawn diagrams that appear progressively in the chat, along with the ability to pan and zoom the viewport to focus on specific areas. Users can open diagrams in a fullscreen interactive editor to modify elements directly within the conversation, creating a seamless bridge between A
- [tencent/weknora](https://awesome-repositories.com/repository/tencent-weknora.md) (16,974 ⭐) — WeKnora is a multi-tenant retrieval-augmented generation (RAG) knowledge platform and autonomous AI agent framework. It transforms raw documents into queryable knowledge bases and integrates large language models with vector databases to provide grounded AI responses. The system also functions as a Model Context Protocol (MCP) tool server, exposing knowledge search and agentic capabilities to external AI clients.

The platform distinguishes itself through an autonomous agent framework that utilizes iterative reasoning, tool calling, and web search to solve multi-step tasks. It implements a sta
- [andrewyng/context-hub](https://awesome-repositories.com/repository/andrewyng-context-hub.md) (13,700 ⭐) — Context Hub is a retrieval-augmented generation framework and context management system designed to provide large language model agents with curated, versioned markdown documentation. It functions as a documentation provider that delivers precise API references and technical context to reduce hallucinations and token waste.

The system incorporates an agentic memory layer that maintains persistent local annotations and user feedback to improve how agents retrieve task-specific knowledge. It uses a version-controlled repository of technical documentation designed for both machine readability an
- [k8sgpt-ai/k8sgpt](https://awesome-repositories.com/repository/k8sgpt-ai-k8sgpt.md) (7,922 ⭐) — k8sgpt is a suite of Kubernetes-focused tools designed for AI-powered debugging, cluster diagnostics, and self-healing. It functions as an automated analyzer and debugger that uses large language models to explain cluster errors, suggest remediation steps, and identify resource failures.

The project distinguishes itself through an extensible analysis framework that supports custom diagnostic plugins and a Model Context Protocol server, which exposes cluster diagnostics as tools for AI assistants. It includes a self-healing agent capable of automatically generating and applying fixes for detec
- [ai21labs/in-context-ralm](https://awesome-repositories.com/repository/ai21labs-in-context-ralm.md) (0 ⭐) — This repo contains the code for reproducing the experiments on WikiText-103 from AI21 Labs' paper In-Context Retrieval-Augmented Language Models (In-Context RALM), to appear in the Transactions of the Association for Computational Linguistics (TACL).
- [mediar-ai/screenpipe](https://awesome-repositories.com/repository/mediar-ai-screenpipe.md) (19,337 ⭐) — Screenpipe is a local screen and audio recorder that captures and indexes digital activity to create a searchable archive of computer usage. It functions as an AI context engine, providing a local database of visual and auditory history to ground large language models.

The system serves as a Model Context Protocol server, delivering screen history and meeting transcriptions to external AI assistants. It utilizes an OCR screen search tool to extract text from visual data and a speech-to-text transcription tool for identifying speakers in system and microphone audio.

The software includes capa