Specification and documentation for the Model Context Protocol

Agent skill for producing threat models for open-source projects

A Model Context Protocol (MCP) implementation for Financial Modeling Prep, enabling AI assistants to access and analyze financial data, stock information, company fundamentals, and market insights.

Model Context Protocol Servers

Official Model Studio CLI（阿里云百炼 CLI）built for AI Agent frameworks, exposing models, search, multimodal, and workflow capabilities as structured tool calls.

A community driven registry service for Model Context Protocol (MCP) servers.

The official Rust SDK for the Model Context Protocol

The official Python SDK for Model Context Protocol servers and clients

The official Ruby SDK for the Model Context Protocol servers and clients.

The official TypeScript SDK for Model Context Protocol servers and clients

The official C# SDK for Model Context Protocol servers and clients. Maintained in collaboration with Microsoft.

The official Go SDK for Model Context Protocol servers and clients. Maintained in collaboration with Google.

The official Java SDK for Model Context Protocol servers and clients. Maintained in collaboration with Spring AI

The official PHP SDK for Model Context Protocol servers and clients. Maintained in collaboration with The PHP Foundation.

Deploy production-ready AI services in minutes. One YAML file for agents, RAG pipelines, and MCP servers — run anywhere. Inspired by docker-compose.

Visual testing tool for MCP servers

The evaluation benchmark on MCP servers

Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.

Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.

A Model Context Protocol (MCP) Server for Cisco Modeling Labs (CML)

Structurizr is a "models as code" tool designed for the C4 model.

Model router for agentic systems. Routes every prompt to the right model in <50ms. Cut costs 40-70% with just an endpoint change.

The SemanticOps MCP (formerly MCP Engine) is a Power BI tool that lets AI assistants like Claude interact with your Power BI models programmatically: read your model structure, run DAX queries, modify your semantic model, and perform advanced analytics - all through natural conversation.

The orchestration layer under your coding agent. Turns work into a typed graph, runs one model per node, and takes the verdict from outside the model — exit codes, write-set checks, and a cross-family verifier. MCP server, 50 tools, bring your own models.