MCP Servers

The watsonx.ai Flows Engine repository provides tools to build, run, and deploy AI agent tools from various data sources, enabling integration with frameworks like LangChain and watsonx.ai for diverse applications.

This repository implements a Model Context Protocol (MCP) server, leveraging DeepSeek R1 for reasoning and Claude 3.5 Sonnet for response generation via OpenRouter. It manages conversations, optimizes parameters, and supports

Multi-Agent,MCP,RAG,SpringAI1.0.0,RE-ACT

The Model Context Protocol (MCP) is an open-source implementation that bridges Jenkins with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI inter

Modex is a Clojure library implementing the Model Context Protocol, enabling developers to augment AI models with tools, resources, and prompts without relying on Java SDKs or proxies.

This repository provides an ElevenLabs MCP server for text-to-speech conversion, featuring a SvelteKit client for managing voices, scripts, and audio history. It supports persistent storage and offers easy installation via

Run any AWS Lambda function as a Large Language Model (LLM) tool without code changes using Anthropic's Model Context Protocol (MCP).

The Wanaku MCP Router is a router for AI-enabled applications using the Model Context Protocol, an open standard for providing context to LLMs. It helps connect everything. The Wanaku MCP

This repository provides an MCP server enabling users to chat with Chronulus AI Forecasting & Prediction Agents within the Claude desktop application. It offers installation instructions using pip or Docker,

A tutorial on how to use Model Context Protocol by Anthropic and Agent2Agent Protocol by Google

This repository provides a Model Context Protocol (MCP) server enabling MCP client agents to play Minesweeper, interacting with a separate Minesweeper game server. It allows agents like Claude to play

This repository provides a Model Context Protocol (MCP) server that integrates with Vectorize for vector retrieval and text extraction. It enables advanced document processing and search functionalities using the Vectorize platform.

This Swift repository provides a Model Context Protocol (MCP) server for knowledge graph management, enabling LLMs to maintain memory across conversations by creating, reading, updating, and deleting entities and relations.

"Zero setup" & "Blazingly fast" general code file relationship analysis. With Python & Rust. Based on tree-sitter and git analysis. Support MCP and ready for AI🤖

MCP Server Box is a Python project integrating with the Box API for file operations like search, text extraction, and AI-based querying. It uses the Model Context Protocol to manage