MCP servers, clients and tools

This project serves as a centralized directory and interoperability hub for the Model Context Protocol, providing a curated collection of standardized service connectors that bridge artificial intelligence models with external software, databases, and APIs. It facilitates the integration of AI agents with diverse ecosystems by offering a registry of machine-readable interface definitions that enable dynamic tool discovery and structured context injection. The directory distinguishes itself by focusing on the protocol-based interoperability required for autonomous AI agents to interact with heterogeneous remote services. It emphasizes a decoupled request-response pattern and a bidirectional capability handshake, ensuring that AI hosts and servers can negotiate operational constraints and supported features before any tool invocation occurs. This architecture supports stateless service implementations, allowing for independent scaling and deployment of tools across various environments. The collection covers a broad functional range, including integrations for business productivity, data science, infrastructure management, and developer utilities. These connectors enable AI agents to perform tasks such as secure database querying, code execution, desktop automation, and persistent memory management. The repository acts as a community-driven resource for developers seeking to extend the operational range of their AI agents through modular, plug-and-play service integrations.

Openclaw is a platform for managing agent execution environments, providing the infrastructure to control agent lifecycles, session state, and workspace persistence. It features a centralized gateway that handles model loops, tool invocation, and streaming events, while supporting multi-agent routing and persistent memory management. The system is designed to normalize tool execution signatures and provide a standardized interface for cross-provider compatibility. The platform includes extensive developer tooling, such as a command-line interface for workspace management, diagnostic logging, and a plugin architecture that allows for the registration of custom tools and capabilities. It supports automated workflows through event-driven hooks, task scheduling, and integration with external services. Security is managed through execution policies, credential portability, and approval workflows for agent actions. Deployment is supported through automated infrastructure installers and containerized gateway helpers, with built-in utilities for backups and configuration management. The system provides a structured format for orchestrating multi-step workflows and includes specialized tools for browser automation and structured code patching.

Curl is a command-line tool and portable library for transferring data across a wide range of network protocols. It functions as a unified engine that abstracts diverse communication standards, allowing users and developers to move files and information between servers using a consistent interface. The project provides both a versatile command-line client for terminal-based automation and a stable programmatic interface for integrating complex network operations into applications. The system is distinguished by its protocol-agnostic core and its ability to manage both synchronous and asynchronous network transfers. It features a non-blocking event loop that enables multiple simultaneous transfers within a single thread, alongside a connection pooling mechanism that reuses network sockets to minimize latency. Security is a primary focus, implemented through a pluggable architecture that supports various cryptographic backends, native certificate store integration, and comprehensive authentication mechanisms for protected resources. Beyond core data movement, the project includes extensive support for modern networking standards, including HTTP/3, WebSockets, and MQTT. It offers sophisticated state management through a built-in cookie engine and provides granular control over request headers, URL construction, and batch processing. These capabilities are supported by robust debugging tools that allow for the inspection of raw request and response data during development. The project is distributed with standard configuration scripts and package management support to facilitate integration into diverse build environments.

GitHub Copilot is an AI-powered development platform designed to integrate large language models directly into coding environments. It functions as an interactive assistant and an agentic workflow orchestrator, enabling developers to automate code generation, perform automated code reviews, and execute complex, multi-step development tasks through natural language prompts. The platform distinguishes itself through its autonomous agent capabilities, which allow for repository-level research, implementation planning, and code modifications across multiple files. It supports a modular architecture where users can define custom agent personas, integrate external data sources via standardized protocols, and manage specialized skills. This extensibility is complemented by a robust orchestration engine that handles model routing, persistent conversation compression, and sandboxed execution to ensure secure and efficient task completion. Beyond core coding assistance, the system provides comprehensive infrastructure for enterprise governance and resource management. It includes features for usage-based billing, token-based metering, and granular security controls such as content filtering, data residency enforcement, and role-based access management. The platform also offers deep integration with command-line tools and CI/CD pipelines, allowing for programmatic automation of repository workflows and terminal-based debugging. The system is accessible through IDE plugins and command-line interfaces, with centralized dashboards for monitoring performance, auditing activity, and managing subscription settings.

Aria2 is a multi-protocol command-line download manager designed to maximize bandwidth utilization by retrieving files from multiple sources and protocols simultaneously. It functions as an asynchronous, event-driven engine that handles complex download lifecycles, including peer-to-peer transfers via BitTorrent, while ensuring data integrity through continuous chunk-based verification. The utility distinguishes itself through its ability to act as a background process that can be controlled programmatically via a remote procedure call interface. This allows external applications to manage, monitor, and queue download tasks securely using authentication tokens. Furthermore, it provides robust support for resilient data transfers by maintaining binary state persistence, which enables the seamless resumption of interrupted downloads and the preservation of peer routing tables. Beyond its core transfer capabilities, the software supports automated workflows by triggering custom shell scripts upon specific lifecycle events, such as the completion or failure of a task. Users can optimize storage and bandwidth by selectively downloading individual files from archives and configuring advanced settings for concurrency, logging, and file system interactions.

FastMCP is a Python framework designed for building servers that expose functions, resources, and prompts to AI models using the Model Context Protocol. It simplifies the development process by automatically deriving tool metadata, input schemas, and documentation directly from Python function signatures and type hints. The framework provides a unified container for managing these components, allowing developers to build modular applications that integrate seamlessly with AI assistants. The project distinguishes itself through its support for interactive, server-defined user interface components that render directly within AI chat environments. It includes a dynamic middleware pipeline for injecting cross-cutting concerns like authentication and telemetry, alongside a protocol-agnostic transport layer that supports stdio, HTTP, and server-sent events. These capabilities allow for the creation of rich, stateful interactions that extend beyond simple text-based tool execution. The framework covers a broad capability surface, including comprehensive support for authentication, authorization, and secure deployment. It provides tools for managing long-running tasks, background execution, and complex dependency injection, while offering built-in observability through logging, distributed tracing, and performance monitoring. Developers can also leverage built-in CLI scaffolding and hot-reloading to accelerate the development and testing of server-side logic. FastMCP is distributed as a Python library, with documentation and tooling focused on streamlining the registration and configuration of local server instances for external AI clients.

TrackersListCollection is an automated aggregator that maintains a directory of active BitTorrent tracker addresses. It functions as a resource for peer-to-peer file sharing applications, providing the necessary endpoints to facilitate peer discovery and improve network connectivity. The project distinguishes itself through a combination of automated source aggregation and community-driven curation, which ensures the repository remains populated with healthy network nodes. By consolidating data from multiple public endpoints, it provides a centralized source for maintaining current and reliable tracker information. The repository stores these addresses in standardized, line-delimited text files designed for compatibility with various download clients. This format allows users to import the lists directly into their software configuration settings to optimize decentralized file transfer performance.

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 enable secure, collaborative development across independent instances. By maintaining semantic codebase indexing and a centralized model gateway, it ensures that AI agents have context-aware retrieval of project structures while managing authentication, rate limits, and automatic service failover across multiple AI providers. Beyond its core orchestration capabilities, the platform supports a wide range of functional areas including automated code review, security vulnerability triage, and multi-stage workflow planning. It provides granular control over agent permissions and tool execution, allowing teams to define custom operational modes and integrate external services through standardized protocols. The system is designed for extensibility, offering a framework to register custom tools and manage environment configurations through natural language commands. It includes robust monitoring and observability features to track agent performance, token consumption, and organizational adoption metrics.

Mitmproxy is an interactive, programmable network proxy engine designed for traffic analysis and protocol manipulation. It functions as a gateway that intercepts, inspects, and modifies network traffic in real-time, supporting HTTP, HTTPS, WebSocket, DNS, and generic TCP or UDP streams. By acting as a trusted certificate authority, the proxy can dynamically generate and sign certificates to decrypt and analyze secure TLS-encrypted connections. The project distinguishes itself through a highly extensible, event-driven architecture that allows users to automate traffic transformation using custom scripts. It provides a unified command-based interface for manual interaction, enabling users to define custom key bindings, content views, and command-line tools. The engine supports multiple operational modes, including explicit, transparent, reverse, and SOCKS proxying, as well as a userspace WireGuard VPN mode for capturing traffic without requiring client-side configuration changes. Beyond basic interception, the platform includes comprehensive tools for recording and replaying network conversations to simulate complex interactions or automate repetitive tasks. It offers advanced capabilities such as request blocking, header and body modification, and local resource mapping. The system also provides robust support for debugging and performance analysis, including integration with external tools through secret logging and structured data representation. The software is designed for rapid iteration, featuring live script reloading that updates custom logic without restarting the proxy process. It includes extensive documentation for managing certificates, configuring proxy modes, and implementing custom addons through a well-defined programmatic interface.

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 services, databases, and external APIs through standardized interfaces. Developers can manage and automate the configuration of these backend resources using infrastructure-as-code tools, while granular role-based access control enforces security policies across all platform resources and API endpoints. Beyond its core services, the platform offers a broad capability surface that includes cross-platform data synchronization, event-driven webhooks, and comprehensive billing and usage monitoring. It supports extensive integrations for AI utilities, payment processing, messaging, and logging, allowing developers to extend application functionality through modular, event-driven workflows. The platform is designed for both managed and self-hosted deployments, providing tools for production environment optimization, data migration, and custom domain configuration.

v2rayN is a cross-platform graphical management suite designed to centralize the configuration and execution of multiple network proxy protocols. It functions as a unified control plane that abstracts heterogeneous proxy backends, allowing users to manage diverse network routing engines through a single interface. The platform distinguishes itself by providing a consistent management experience across Windows, Linux, and macOS, while orchestrating the lifecycle of independent proxy processes as child services. It supports specific configuration ecosystems, enabling users to organize and switch between different proxy standards while maintaining structured routing rules. Beyond basic connectivity, the software includes tools for defining complex routing logic and granular traffic steering. By utilizing local geographic database assets, it enables precise filtering and regional access control based on destination metadata. The system also coordinates auxiliary utilities and manages the translation of user-defined rules into the specific schema requirements of various underlying proxy engines.

XcodeBuildMCP is a Model Context Protocol server and development tool bridge that provides AI agents with the ability to control xcodebuild, manage simulators, and automate the compilation and execution of Apple platform applications. It functions as a persistent daemon that proxies native IDE build and debug capabilities to external clients and agents. The project distinguishes itself by using the Model Context Protocol to expose build and device management tools through a standardized interface. It implements specialized skill priming and instruction configuration to ensure AI agents can interact with Apple development tools without needing to rediscover project conventions. The system covers a broad range of automation capabilities, including multi-platform project compilation, Swift package management, and the lifecycle control of iOS simulators. It supports physical hardware deployment via USB or Wi-Fi, remote debugging through LLDB command execution, and automated UI testing via gesture simulation and accessibility analysis. Observability is handled through real-time progress streaming using newline-delimited JSON, code coverage analysis, and the capture of device runtime logs.

This project is a command-line utility designed to benchmark and optimize network connectivity by identifying the fastest available content delivery network nodes. It performs concurrent latency probing and speed testing across large pools of IP addresses to evaluate real-world performance based on your specific geographic location and network environment. Beyond simple benchmarking, the tool functions as an automated configuration manager that synchronizes your network settings with the best-performing endpoints discovered during testing. It integrates with external DNS management services to update domain records and can modify local system files or generate configuration files for domain resolution services to ensure traffic is consistently routed through optimized paths. The software also includes capabilities for local network acceleration by spawning a lightweight proxy server that prioritizes high-speed connections. Users can customize the evaluation criteria, such as latency thresholds or packet loss limits, through command-line arguments to tailor the performance analysis to their specific requirements.

This project is an AI-powered IDE extension and LLM coding assistant that provides a conversational interface for generating, refactoring, and debugging code. It functions as an AI agent framework and a Model Context Protocol client, connecting AI models to external data sources and tools to automate complex development tasks. The system is distinguished by its use of autonomous AI agents capable of multi-step task execution, including the ability to read files, modify code, and run terminal commands iteratively. It supports recursive agent orchestration through subagent delegation and employs isolated Git worktrees to execute background changes without interfering with the primary codebase. The project covers a broad range of capability areas, including AI-assisted editing with inline diffs, semantic codebase indexing for grounded context, and comprehensive AI model management across local and cloud providers. It also integrates tools for AI model evaluation, fine-tuning, and observability, alongside specialized support for Jupyter notebooks and containerized development environments. The extension provides deep integration with version control systems and supports the management of cloud-based AI resources and inference endpoints.

XX-Net is a cross-platform desktop application that functions as a local proxy server and network traffic router. It intercepts outgoing network requests from a local machine and redirects them through encrypted tunnels to a distributed mesh of cloud-based nodes, facilitating secure and reliable access to external resources. The software distinguishes itself by providing a centralized management interface for coordinating complex proxy infrastructure. It employs rule-based traffic routing, allowing users to define custom logic based on destination addresses and protocols to determine the optimal path for data packets. This approach enables the circumvention of regional or institutional network restrictions while maintaining consistent connection stability. The application includes a comprehensive suite of tools for managing tunnel connections, listening ports, and remote server configurations. Users can adjust system settings, update schedules, and security credentials through a dashboard that supports dynamic configuration changes without requiring a full application restart.

OpenHands is an autonomous agent framework designed for software engineering workflows. It provides a modular platform for orchestrating AI agents that reason, plan, and execute tasks within isolated, containerized development environments. By integrating with standard version control and development tools, the system enables agents to autonomously navigate codebases, implement features, and resolve issues through iterative reasoning and tool execution. The platform distinguishes itself through a model-agnostic orchestrator that connects diverse language models to a unified tool registry. It supports complex, multi-agent collaboration via hierarchical task delegation, allowing parent agents to spawn and manage independent sub-agents for parallelized workflows. Security is managed through configurable action approval policies and real-time risk evaluation, ensuring that autonomous operations remain within defined safety boundaries. The system covers a broad capability surface including persistent conversation state management, automated code review, and web research automation. It features an event-driven architecture that serializes interactions into immutable logs, facilitating observability and time-travel debugging. Developers can extend agent functionality through custom skill definitions, plugin packages, and integration with external services via standardized protocols. The project provides a command-line interface for managing agent sessions, remote server deployments, and containerized workspace lifecycles. It is designed for extensibility, allowing users to configure agent behavior through structured objects, markdown-based definitions, and environment-specific settings.

V2ray-core is a modular network proxy engine designed to manage inbound and outbound traffic through a unified, rule-based processing pipeline. It functions as a background service that operates multiple concurrent network protocols within a single process, allowing for flexible traffic management and the independent handling of diverse communication streams. The project distinguishes itself through a highly decoupled architecture that treats network protocols as swappable modules, enabling the encapsulation of various transport layers into a consistent stream-based model. It features a centralized configuration system that parses structured data to define complex routing, DNS, and transport rules at runtime. To enhance connectivity and security, the engine includes a load-balanced outbound dispatcher that distributes requests across multiple connections using weighted algorithms, alongside a traffic obfuscation layer that masks packet signatures to mimic standard web activity. The software supports sophisticated network traffic routing, allowing users to direct packets based on domain names, IP addresses, or geographic regions. It provides comprehensive tools for both client and server deployments, enabling the establishment of secure communication endpoints across diverse network infrastructures. The project provides source code for manual compilation and scripts for building distribution packages across various operating systems and hardware architectures. Operational parameters, including logging and service settings, are managed through structured configuration files provided at runtime.

PandaWiki is an AI-powered wiki and knowledge base platform that integrates large language models to automate content creation and information retrieval. It functions as a retrieval-augmented generation system for building technical wikis, FAQs, and documentation sites that provide automated answers grounded in a private knowledge base. The system acts as an enterprise knowledge bot, allowing the deployment of AI chatbots via web widgets and messaging applications like Discord. It further extends its operational capabilities by integrating with Model Context Protocol servers to connect the AI system to external tools and data sources. The platform covers a broad range of capabilities including semantic search, rich text editing with Markdown, and pipeline-based content ingestion from URLs, RSS feeds, and sitemaps. It also includes enterprise access control through identity federation via LDAP and OAuth.

Bitchat is a decentralized messaging protocol designed for secure, private communication across both local and wide-area networks. It functions as an encrypted offline messenger that enables direct data exchange between devices without requiring centralized servers or persistent internet connectivity. By utilizing end-to-end encryption, the platform ensures that message content remains confidential and protected from unauthorized access throughout the entire transport process. The project distinguishes itself through a hybrid connectivity layer that dynamically routes messages between short-range wireless radio links and global internet relays. This architecture allows the system to maintain communication in disconnected environments by automatically switching paths based on network availability. When recipients are offline, the system employs an asynchronous store-and-forward mechanism to buffer messages locally, synchronizing them once a stable connection path is re-established. Beyond its core routing capabilities, the framework supports location-based channel discovery, allowing users to join regional or community-specific groups based on geographic metadata. The system is optimized for power efficiency, utilizing throttled radio polling to minimize battery consumption during peer-to-peer mesh operations. These features collectively provide a resilient communication channel suitable for emergency response coordination and environments where traditional infrastructure is unavailable.

This project is a cross-platform desktop media player that aggregates music content from multiple online sources into a unified local playback interface. It provides a comprehensive system for managing media playback and retrieving structured lyric data, including time-synced, translated, and romanized versions. The application distinguishes itself through an integrated local network server and a custom protocol handler, which allow external software, scripts, and web browsers to interact with the player. These features enable remote control of playback operations, real-time monitoring of media status via event streams, and the execution of specific application commands directly from external environments. To support multi-device usage, the software includes a distributed state synchronization mechanism. By deploying a private backend server, users can maintain consistent preferences, playback history, and media libraries across multiple independent installations of the application. The project includes a cross-platform build pipeline that automates the generation of native executables for various operating systems.