Awesome MCP Servers

Discover, extract, and interact with the web - one interface powering automated access across the public internet.

Access financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more

AI-to-AI marketplace on 14 blockchains. 46 MCP tools for crypto swap (71 tokens), tokenized stocks (25), GPU rental, DeFi yields, LLM fine-tuning, wallet analysis. Pay in USDC.

Bitcoin Lightning + Nostr Web-of-Trust tools for agents (L402 pay-per-call endpoints)

MCP server for Autodesk Maya

A personal server for MB Crosier providing biography, contact information, and social links.

A chatbot for Manisa Celal Bayar University student affairs, featuring a web scraper, student database, and API integration tools for automation.

An MCP server that helps coding agents to work with Minecraft mod development

1C:Enterprise integration — metadata, BSL code search, queries, event log, syntax reference. One Go binary, zero dependencies.

CLI bridge that wraps MCP servers as bash-invokable commands, recovering ~11K tokens of context window per session https://github.com/rodaddy/mcp2cli

A bridge that enables MCP clients and LLMs to access and execute AWS Lambda functions as tools.

An MCP service for device communication and PWM control via the MQTT protocol.

MCP360 is a unified gateway and marketplace that provides 100+ external tools and custom MCPs through a single integration for AI agents.

Connects to 3D printer management systems like OctoPrint, Klipper, and Bambu Labs for model manipulation and printing workflows.

A collection of MCP servers for Electronic Design Automation (EDA) workflows, including tools for die yield calculation and Verilog/SystemVerilog analysis.

An MCP server that acts as a bridge, allowing MCP clients to interact with a target GraphQL API.

Interact with Ethereum-compatible smart contracts using their ABI.

A discovery and recommendation service for exploring MCP servers using natural language queries.

Access the Model Context Protocol specification through prompts and resources.

A lightweight, local MCP server in Python that enables RAG search through AWS Lambda.

An intelligent agent framework based on MCP, supporting multiple large language models and tool integrations for testing single-agent effectiveness.

A comprehensive crash course on the Model Context Protocol (MCP), covering everything from basic concepts to building production-ready MCP servers and clients in Python.

A comprehensive MCP development environment with interactive visualizations, multiple client interfaces, and advanced agentic capabilities.

An agentic communication framework for multi-agent collaboration using MCP.

a complete and intuitive SDK for building MCP Servers, MCP Agents, and LLM integrations (OpenAI, Claude, Gemini) with minimal effort. It abstracts all the complexity of the MCP protocol, provides an intelligent agent with automatic model routing, and includes a universal client for external APIs all through a single, simple, and powerful interface. Perfect for chatbots, enterprise automation, internal system integrations, and rapid development of MCP-based ecosystems.

A state-based agent orchestration system using the Model Context Protocol (MCP).

Fetches requirements and defect data from the TAPD platform to provide data support for AI clients.

Step-by-step observability for MCP agent workflows — trace, inspect, and debug multi-step agent executions

An MCP (Model Context Protocol) aggregator that allows you to combine multiple MCP servers into a single endpoint allowing to filter specific tools.

A universal aggregator that combines multiple MCP servers into a single endpoint.

A server that bridges Cline to an AI agent system, enabling seamless interaction with AI agents through the Model Context Protocol.

MCP-Airflow-API is an MCP server that leverages the Model Context Protocol (MCP) to transform Apache Airflow REST API operations into natural language tools. This project hides the complexity of API structures and enables intuitive management of Airflow clusters through natural language commands.