MCP Servers

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 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

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.

Markdown-first, long-term memory infrastructure for AI agents. Hybrid BM25 + semantic search across markdown/code files via MCP.

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.

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

Portable signed proof for agent, API, and MCP interactions

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.

Persistent AI memory with hybrid search and embedded sync - open, free, unlimited

MCP server for Telegram (Bot API + MTProto) - composite tools optimized for AI agents

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 a Model Context Protocol (MCP) implementation, demonstrating local and remote tool calling with examples, schema validation, and integration with AWS Bedrock, showcasing AI-assisted development. This repository provides

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.

The WildFly MCP repository provides tools for integrating WildFly servers with Generative AI, including a MCP server, a chat bot, container images, a protocol gateway, and a wait server to