Discover Awesome MCP Servers

MCP-Server

A minimal MCP server built with TypeScript exposing a single mocked weather tool over stdio transport.

Agentic MCP Server

Acts as the 'Hands and Eyes' for an Autonomous AI Agent, bridging Large Language Models and your local development environment to enable safe file manipulation, context reading, command execution, and documentation verification.

Heroku MCP Code Execution - Python

An MCP server for securely executing Python code, supporting STDIO, Streamable HTTP, and SSE transports, with easy deployment on Heroku.

MobSF MCP Server

A Node.js-based Model Context Protocol implementation that provides a standardized interface for integrating Mobile Security Framework's security analysis capabilities into automated workflows and third-party tools.

VFX Parsers MCP Server

Parses and generates Nuke (.nk), MaterialX (.mtlx), and USD ASCII (.usda) files via JSON AST representations with round-trip stability. Enables bidirectional conversion of VFX script formats for pipeline automation without modifying files.

orz-discord-relay-ws

Minimal Discord Gateway relay for Claude Code and any MCP client using raw WebSocket and MCP-native notifications.

Google Data Catalog MCP Server by CData

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Google Data Catalog (beta): https://www.cdata.com/download/download.aspx?sku=HGZK-V&type=beta

mcp-feedback-enhanced

Establishes feedback-oriented development workflows with Web UI and desktop application dual interfaces, enabling AI to confirm with users and consolidate tool calls into feedback requests to reduce costs and improve development efficiency.

TypeScript MCP Server Boilerplate

A boilerplate project for quickly developing Model Context Protocol servers using TypeScript SDK, with example implementations of calculator tools, greeting functionality, and resource management.

MCP Memory

An MCP server that gives AI assistants the ability to remember user information (preferences, behaviors) across conversations using vector search technology.

Local Testing Agent MCP Server

A multi-language testing automation server that enables AI assistants to discover, plan, and execute tests across six major programming languages. It provides comprehensive tools for repository scanning, automated test execution, and detailed coverage reporting.

Trello MCP Server

A Model Context Protocol (MCP) server that provides AI assistants with access to Trello's functionality. This server enables AI models to interact with Trello boards, lists, and cards programmatically.

agentscore-mcp

Three practical MCP tools to investigate agents, threads, and content trust signals.

cocoon

An MCP server that provides a single tool for discovering, auto-installing, sandboxing, and calling any API from the printing-press corpus. It enables agents to seamlessly find and execute API operations without per-API setup.

bloomberg-mcp

Provides Model Context Protocol tools for accessing Bloomberg Terminal data including BDP, BDH, BDIB, BQL, bond analytics, screening, and field search.

MCP Meeting Agent

Enhances meetings by providing technology trivia questions, interesting fun facts, and current GitHub trending repositories. Generates formatted meeting notes with engaging content to make meetings more interactive and informative.

RTTA Arena MCP Server

Enables AI agents to participate in a blockchain-based reverse Turing test game, with tools for session management, room matching, gameplay actions, and automatic play.

runtime-guard

ai-runtime-guard is an MCP server that sits between your AI agent and your system, enforcing a policy layer before any file or shell action takes effect. No retraining, no prompt engineering, no changes to your agent or workflow, just install, configure once, and your agent operates within the boundaries you set.

build-quality-mcp

Enables Claude-powered pre-push code review, blocking bad commits by analyzing diffs with Anthropic's models.

Arthor-Agent

AI agent for security teams: automate assessment of documents, questionnaires & reports. Multi-format parsing, RAG knowledge base, OpenAI/Ollama. Risks, compliance gaps, remediations. MIT.

Pulsar MCP Server

Enables interaction with Apache Pulsar clusters through MCP-compatible clients, supporting publish, consume, topic management, and connector operations.

sky-spine-mcp

Automates Spine asset pipeline tasks such as export, texture packing, resource validation, and file summarization through the Spine CLI.

MCP WordPress Server

Enables comprehensive WordPress site management through natural language in Claude Desktop, supporting multiple sites with 59 tools for content creation, media management, user administration, and performance monitoring.

Memory MCP

A knowledge-graph-based memory system for AI agents that enables persistent information storage between conversations.

autodemo

MCP server that turns any running web app into demo videos, interactive walkthroughs, and marketing captures via one command. Enables AI agents to show their work with regenerated demos on every PR.

mcp-web-validator

Enables AI coding assistants to validate HTML/CSS markup using W3C APIs, perform technical SEO audits, check broken links, and validate JSON-LD schemas directly in local workspaces.

Telegram MCP Server

Enables full access to your personal Telegram account via MCP, allowing reading, sending, and searching messages, managing chats, and retrieving user information through natural language commands.

mcp-repo-graph

Structural graph map of any codebase. Scans entities, relationships, and feature flows across 13 languages so LLMs navigate by structure instead of reading everything.

OpenTester

OpenTester is a testing execution engine designed for AI coding tools (Claude Code, Cursor, OpenCode, etc.). It provides a unified DSL format and MCP interface, enabling Agents to generate, execute, and manage test cases, achieving an automated "code-test-fix" workflow.

MCP Autonomous Analyst

A local, agentic AI pipeline that analyzes tabular data, detects anomalies, and generates interpretive summaries using local LLMs orchestrated via the Model Context Protocol.