MCP Servers

This repository provides a simple example client for connecting to Model Context Protocol (MCP) servers over HTTP using Server-Sent Events, leveraging the official MCP Python SDK for protocol handling and server interaction.

MCP server that tracks file descriptions across codebases, enabling AI agents to efficiently navigate and understand code through searchable summaries and token-aware overviews.

CereBro is a model-agnostic AI Agent Wrapper for .Net that supports the Model Context Protocol, allowing developers to write tools compatible with various AI models like OpenAI without code changes.

EasyMCP is a user-friendly client for the Model Context Protocol, enabling connection to SSE, NPX, and UV servers for interacting with various tools and integrating with the OpenAI API for

This repository provides a Model Context Protocol (MCP) server for Unity Catalog, enabling users to leverage Unity Catalog Functions as MCP tools, including listing, getting, creating, and deleting functions within Unity Catalog.

MCP server for Email (IMAP/SMTP) - composite tools optimized for AI agents

This repository provides a Model Context Protocol (MCP) server for document question answering, leveraging Langflow to create a backend for querying documents. It offers a simple interface to interact with

MCP server for multi-session Claude Code coordination via Temporal

This repository hosts a Model Context Protocol (MCP) server for creating, managing, and extending AI agents through system prompt and tool management, integrating with systemprompt.io for seamless versioning and requiring

This repository provides a MCP server implementation that wraps the Riza API, offering endpoints as individual tools for LLMs to securely execute code and manage tools on Riza's isolated code interpreter.

Portable signed proof for agent, API, and MCP interactions

MCP-powered knowledge base — Agent writes, humans read. Structured wiki with compiled truth, timeline, entity registry, and LLM audit.

This Rust SDK provides a work-in-progress implementation of the Model Context Protocol (MCP) for AI model communication. It offers features like multiple transport layers, async support, type-safe message handling, and

This repository provides an MCP server for accessing OpenDota API data, enabling LLMs and AI assistants to retrieve real-time Dota 2 statistics, match data, and player information through a standard interface.

MCP server for web search, content extraction, and documentation indexing