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This server provides programmatic access to the Pydantic-AI documentation, including cloning/updating the documentation repository, retrieving specific documents, listing documentation topics, and accessing changelog information. It operates as a Model Context Protocol (MCP) server, exposing its functionalities as tools.

HistorIQ Model Context Protocol, MCP AI RAGRetrieval-Augmented GenerationAI AgentLLM

play around with model context protocol docu: https://modelcontextprotocol.io/quickstart/server

Trae AI

This is a powerful MCP (Model Context Protocol) server built in Rust, significantly extending the capabilities of the original randomm/mcp-rg and heavily inspired by the feature set of the Node.js-based Desktop Commander MCP. It provides AI models like Anthropic's Claude with a comprehensive suite of tools to interact with a local system, including:

Java Implementation of Anthropic's Model Context Protocol

An MCP server for interacting with the Bluesky social network, providing tools for accessing Bluesky data and performing actions through Claude.

A modular Go runtime for the Model Context Protocol (MCP) designed for intelligent agent coordination, model selection, prompt optimization, and lifecycle-aware execution.

BurpsuiteMCP LLMsBurp Suite,

This project showcases an AI-powered news compiler agent built with Azure AI Agent Service that seamlessly integrates with a Model Context Protocol (MCP) Server. The agent allows users to search for news on various topics using Azure's Bing Search tool, summarize the findings, and catalog this information into an Azure Blob Storage account via the MCP Server.

Prompt Decorators is a comprehensive framework that standardizes how prompts for Large Language Models (LLMs) are enhanced, structured, and transformed. This repository contains both the official Prompt Decorators Specification and its complete Python reference implementation.

Lightning-Fast Deep Research Report

A suite of tools built on the Model Context Protocol (MCP) framework, enabling seamless interactions with various services through an AI-friendly interface.

A toy Model Context Protocol (MCP) server for AI agents to safely code, run, and visualize GPU shaders.

A Model Context Protocol (MCP) server for numerical computations with NumPy

The Model Context Protocol (MCP) is an open standard that enables AI models to securely access external data and tools.

Este repositrio foi utilizado em uma apresentao para demonstrar, de forma prtica, como funciona o Model Context Protocol (MCP) e sua integrao com agentes e LLMs. Ele contm exemplos progressivos, comeando de uma chamada bsica a um LLM, passando por um agente simples com ferramentas, at um agente que utiliza ferramentas expostas via MCP.

A standardized framework for evaluating the efficiency gains and trade-offs of AI agents using Model Context Protocol (MCP) compared to traditional methods.

This simple Model Context Protocol (MCP) client demonstrates the use of MCP server tools by LangChain ReAct Agent.

opencv

A Model Control Protocol (MCP) server for managing and serving custom prompt templates. It allows you to create reusable prompt templates with variable placeholders that can be filled in at runtime.

This repository contains a complete tutorial on how to create an MCP (Modular Computational Platform) client in Python using FastAPI. The tutorial is inspired by the Claude Desktop application and demonstrates how to make an LLM (Large Language Model) call MCP tools from an MCP server and display the results.

A streamlined template for building AI agents using the Model-Context-Protocol pattern with GPT models and LangChain.

A Model Context Protocol (MCP) server that allows AI agents to interact with n8n workflows through natural language.

Upgrade Your LLM, The Simple Way.

A reusable Python client for interacting with MCP (Machine Conversation Protocol) servers and LLMs.

MCP

A Model Context Protocol (MCP) server that connects AI models to GROWI wiki content. Enables LLMs to search and retrieve information from your organization's knowledge base for accurate, context-aware responses.

A Model Context Protocol (MCP) server that interfaces with an Information Assistant service to provide knowledge base querying capabilities.

X AI Agent is a powerful, modular, and extensible autonomous AI agent framework built using JavaScript and powered by Gemini 2.0 Flash via the Model Context Protocol (MCP). It enables LLMs to interact with external tools, APIs, memory systems, and more through a structured and unified interface, allowing for flexible and scalable AI workflows.

This project provides an MCP (Model Context Protocol) server that can be integrated with Claude Desktop for enhanced AI workflows.

This repository hosts the blog and documentation portal for the Model Context Protocol (MCP), an open standard for connecting AI assistants to the systems where data lives.

A Ruby implementation of a Model Context Protocol (MCP) server for Neovim. This server allows LLMs (Large Language Models) to interact with Neovim through the Model Context Protocol, providing capabilities to query buffers and perform operations within the editor.

A powerful Model Context Protocol (MCP) server implementation with integrations for GitLab, Jira, Confluence, YouTube, and more. This server provides AI-powered search capabilities and various utility tools for development workflows.

TextIn MCP Server is a tool for extracting text and performing OCR on documents, including document text recognition, ID recognition, and invoice recognition. It also supports converting documents into Markdown format.

AICheck MCP is a system for AI-assisted development that provides structure, documentation, and control for working with Claude Code and other AI systems.

News Assistant is a simple chat bot that demonstrates the usage of News MCP

A Model Context Protocol (MCP) server that provides tools for visualizing molecules and retrieving molecular properties using SMILES codes. This server integrates with LLM applications like Claude Desktop to provide chemistry-focused capabilities.

A Vercel adapter for the Model Context Protocol (MCP), enabling real-time communication between your applications and AI models. Currently supports Next.js with more framework adapters coming soon.

MCP Safety Audit: LLMs with the Model Context Protocol Allow Major Security Exploits Brandon Radosevich*, John Halloran* Paper: https://www.arxiv.org/abs/2504.03767

MCP server for integrating LightRAG with AI tools. Provides a unified interface for interacting with LightRAG API through the MCP protocol.

Una herramienta para documentar un proyecto de forma automatica con claude, copilot u otro mcp client.

This project implements a sophisticated, multi-agent system for controlling Blender using natural language. It leverages the Blender MCP (Multi-Process Communication) addon and the AGNO Agent framework, powered by Google Gemini models. This system orchestrates a team of 17 specialized AI agents to manage a complete 3D production pipeline, from concept to final render, within Blender.

A Model-Context-Protocol (MCP) server that lets Claude (or any MCP-compatible LLM) interact with your Obsidian vault through the Local REST API community plugin written in TypeScript and runnable with bunx.

Design and implementation of custom MCP protocol layers for AI agents

LLM+LangGraph+Mcp play study

A powerful AI agent implementation using Pydantic and Chainlit, capable of web browsing and interaction through MCP (Multi-Command Protocol).

This project demonstrates a fully local Model Context Protocol (MCP) client using:

A Model Context Protocol server that integrates AI assistants with Metabase analytics platform.

Here is the list of side projects:

A FastAPI implementation for managing model-specific context in AI applications.

This project provides a Model Context Protocol (MCP) server that allows developers and AI Agents to query Google Cloud Logging using natural language. The server uses Vertex AI Gemini 2.5 to translate natural language queries into Google Cloud Logging Query Language (LQL), then queries Cloud Logging and returns the results.

Model Context Protocol (MCP) APIClaude AIMCP

Fullstack Kubernetes redteam engine exposed through the Model Context Protocol. Run any enumeration module or killchain phase from an LLMaware client like Cursor or Claude Desktop.