Projects sharing features with Sample Model Context Protocol Demos

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MCP server providing AI assistants with Maven Central dependency intelligence for all JVM build tools (Maven, Gradle, SBT, Mill). Features Context7 integration for documentation support.

Zero-configuration MCP server that unifies multiple AI coding assistants (Codex, Claude Code, Cursor, Gemini) through intelligent auto-discovery and standardized interface

This is an MCP Server that wraps the Azure CLI, adds a nice prompt to improve how it works, and exposes it.

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This project serves as an agentic browser controller, providing a programmatic bridge that enables autonomous software agents to navigate web pages and interact with document elements. It functions as a browser automation protocol, facilitating headless browser operations and automated web interactions to perform repetitive tasks and end-to-end testing without manual human input. The system distinguishes itself by utilizing the Chrome DevTools Protocol to establish a bidirectional communication channel with the browser engine. This allows for protocol-based remote control, where external appl

This project provides a Model Context Protocol server that enables autonomous agents to interact with and manage automation workflows. It functions as an integration layer, allowing language models to discover, build, test, and deploy complex automation sequences through natural language instructions and structured schema-based communication. The platform distinguishes itself by offering granular control over automation logic, including the ability to perform surgical, incremental patches to specific workflow nodes rather than replacing entire structures. It supports multi-instance connectivi

MCP server for the Ejentum API. 8 cognitive operations across 4 harnesses (reasoning, code, anti-deception, memory) in dynamic and adaptive modes.

This repository contains all my work related to Spring Batch:

A demonstration project showcasing the integration of Spring AI's Model Context Protocol (MCP) server with a cryptocurrency price API service. This project allows AI models to retrieve real-time cryptocurrency information through a standardized interface.

This project is a Model Context Protocol server that provides a standardized interface for connecting host applications to external data sources and service APIs. It functions as a middleware component, exposing repository-related functionality as a set of discoverable tools that can be invoked dynamically by large language models to facilitate context-aware reasoning and task execution. By bridging host environments with external platforms, the server enables artificial intelligence models to access real-time repository information, supporting automated workflows and improved accuracy in gen

A comprehensive Model Context Protocol (MCP) server for Apache Druid that provides extensive tools, resources, and AI-assisted prompts for managing and analyzing Druid clusters. Built with Spring Boot and Spring AI, this server enables seamless integration between AI assistants and Apache Druid through standardized MCP protocol.

Supports GPT Image 2, Nanobanana & ComfyUI, with a 1,400+ prompt library, carefully crafted hooks and a multi-task orchestration system

fastmcp is a Python library and framework for building servers and clients that implement the Model Context Protocol. It serves as a tool integration library designed to connect large language models to external tools and data sources. The framework features an interactive tool user interface renderer, which allows for the display of visual interfaces for tools directly within a conversational flow. It also provides a library for automatically generating schemas and validation for tools used by language models. The project covers server and client development, including tool and resource exp

MCP generator for OpenAPIs 🫳🎤💥

Playwright MCP is a browser automation server that provides a standardized interface for connecting large language models to web navigation and interaction capabilities. By operating as a Model Context Protocol server, it enables external AI agents to execute browser-based tasks, extract data, and perform complex web sequences through a unified communication protocol. The project distinguishes itself by acting as a remote controller that manages headless browser lifecycles and isolated automation contexts. It maintains session-based state isolation, allowing for distinct user profiles and per

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

The inspector is a diagnostic and validation tool for the Model Context Protocol. It provides an interactive interface and a transport proxy to discover, inspect, and execute the tools, prompts, and resources provided by an MCP server. The project serves as a debugger and compliance tester to verify that server implementations adhere to the protocol specification and JSON-RPC standards. It allows for real-time monitoring of message exchanges and logs between clients and servers across various transport layers, such as standard input/output and Server-Sent Events. The tool covers a broad rang

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

MCP server CLI for production-grade software assets (logos, app icons, favicons, OG, illustrations) — routes across 30+ image models, zero-key first, validates before shipping.

Turn any SpringDoc-powered Spring Boot API into a production-ready MCP gateway.

mcpo is a gateway and router that converts Model Context Protocol tools into standard REST API endpoints. It functions as a validation proxy and security layer, mapping multiple tool server configurations to unique URL paths while using standardized schema definitions to validate input parameters and output formats. The project implements an OAuth security layer using dynamic client registration to verify identities via an authentication server. It also acts as a bridge for reverse proxies by applying configurable base paths to internal endpoints, ensuring compatibility with network load bala

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