Awesome MCP Servers

Put performance and error data directly in the hands of your AI assistant.

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

A Python-based server to install and configure other MCP servers from PyPI, npm, or local directories.

One remote MCP server for 500+ production APIs — Stripe, HubSpot, Postgres, Gmail, and more. OAuth and API key auth, credential management, and a CLI.

An example of a remote, authentication-free MCP server deployable on Cloudflare Workers.

A composable middleware framework for building sophisticated MCP server chains, inspired by Ruby Rack.

Enhances LLM reasoning by transforming prompts into Chain of Draft or Chain of Thought formats, improving quality and reducing token usage. Requires API keys for external LLM services.

A local MCP server that breaks on demand. Test your client against auth failures, disappearing tools, flaky responses, and token expiry, all from a web UI.

Generates TradingView chart visualizations using the Chart-IMG API.

Create real-time TradingView chart visualizations using the Chart-IMG API.

Analyze your MCP setup: measure token cost per tool, find bloated schemas, detect duplicates, and get optimization tips to reclaim your context window.

A command-line interface for interacting with Model Context Protocol servers.

Use command line tools in a secure fashion as MCP tools.

A Python client for connecting to Model Context Protocol (MCP) servers, supporting local scripts and npx packages.

A Python client that connects local LLMs via Ollama to Model Context Protocol servers, enabling them to use tools.

A CLI host that allows Large Language Models (LLMs) to interact with external tools using the Model Context Protocol (MCP).

Structural codebase indexer with 17 query tools. 87% token reduction. Zero dependencies.

A server for bias-resistant AI code review using cross-model evaluation.

Allows LLMs to execute Python code within a specified and configurable Python environment.

Analyze and visualize code graphs using CodeGPT.

Execute code securely in isolated sandbox environments using the E2B API.

Instead of direct calling MCP tools, mcpcode server transforms MCP tool calls into TypeScript programs, enabling smarter, lower-latency orchestration by LLMs.

A secure server for executing pre-approved system commands via an environment variable.

A server for securely executing commands on the host system, requiring Java 21 or higher.

Orchestration tool for managing multiple MCP servers with a Docker Compose-style interface and a unified HTTP proxy.

A web tool for safely adding MCP servers to your Claude Desktop configuration.

Edit the mcp.json configuration file for tools like AWS Q Developer and Claude Desktop.

Server providing persistent multimodal context storage for LLM agents.

Programmatically control Windows mouse, keyboard, window management, screen capture, and clipboard operations.

Real-time cost awareness for MCP agent workflows — track spend, set budgets, and route by model pricing

A simple demonstration of the MCP Python SDK.

A service for dynamically creating, running, and managing Model Context Protocol (MCP) servers.