AI & Machine Learning MCP Servers

Fireworks AI testing helpers for MCP Test Harness

This document guides you through setting up and running the Gamma MCP (Model Context Protocol) server, which allows you to generate presentations using the Gamma API directly from MCP clients like Anthropic's Claude for Desktop.

AgentMake AI MCP Servers - Easy setup of MCP servers running AgentMake AI agentic components.

JWT-gated LLM gateway: authenticate (bcrypt/JWT), then run a LangChain-on-Vertex Gemini completion. Unauthenticated calls are rejected.

MCP server for BIPO Axis i18n key management with auto token refresh

JWT-gated LLM gateway: authenticate (bcrypt/JWT), then run a LangChain-on-Vertex Gemini completion. Unauthenticated calls are rejected.

Mistral AI testing helpers for MCP Test Harness

JWT-gated LLM gateway: authenticate (bcrypt/JWT), then run a LangChain-on-Vertex Gemini completion. Unauthenticated calls are rejected.

Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith tracing.

This implementation provides a Git changes analyzer that generates commit messages using OpenAI's GPT models.

MCP server and Claude-powered CLI for Mega.nz, Box, and OneDrive — one tool to manage all your cloud storage

MCP implementation that enables communication between MCP servers and OpenAI-compatible LLMs

Repo of skills for autogen studio using model context protocol (mcp)

Model Context Protocol tool support for LangChain

一个为即梦AI打造的MCP服务器，让Claude、Cherry Studio等AI应用直接调用即梦的AI生成能力。基于jimeng-free-api-all开源项目，提供OpenAI兼容接口。 核心功能：文本生成图像（即梦4.0/3.1）、图像合成（多图融合）、文本生成视频（480p-1080p）、图像生成视频（静态转动态）。 支持三种模式：stdio（Claude Desktop）、SSE（Web）、HTTP REST API（跨平台）。Docker一键部署，开箱即用。异步轮询优化，确保长时间任务稳定完成。 需要Python 3.10+和Docker，配置SessionID即可使用，每日免费66积分。适合AI创作者、开发者学习MCP协议。MIT开源，代码透明。

A Streamlit-based chat app for LLMs with plug-and-play tool support via Model Context Protocol (MCP), powered by LangChain, LangGraph, and Docker.

AI-powered image generation using Google Gemini, integrated with Claude Code via Skills or Claude.ai via MCP (Model Context Protocol).

Reference implementation of OpenAI's Agentic Commerce Protocol (ACP)

MindBridge is an AI orchestration MCP server that lets any app talk to any LLM — OpenAI, Anthropic, DeepSeek, Ollama, and more — through a single unified API. Route queries, compare models, get second opinions, and build smarter multi-LLM workflows.

A Model Context Protocol server providing LLM Agents a second opinion via AI-powered Deepseek-Reasoning R1 mentorship capabilities, including code review, design critique, writing feedback, and idea brainstorming through the Deepseek API.

Generate QA datasets & evaluate RAG systems with failure diagnosis. Any LLM.

MCP server for managing prompts and templates with project orchestration capabilities

MCP server implementing RAT (Retrieval Augmented Thinking) - combines DeepSeek's reasoning with GPT-4/Claude/Mistral responses, maintaining conversation context between interactions.

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