Discover Awesome MCP Servers

pubchem-mcp

Enables querying PubChem compound properties and structure images through MCP, providing formula, molecular weight, SMILES, IUPAC name, and image URLs.

whoopmcp

A read-only MCP server for the WHOOP API v2 that lets you query and analyze your own recovery, sleep, strain, cycles, and workout data. Note: currently a pre-alpha scaffold with stubbed internals.

meta-mcp

Enables AI assistants to manage Instagram and Threads accounts — publish content, handle comments, view insights, search hashtags, and manage DMs through the Meta Graph API.

VeoMCP

Google Veo AI video generation with text-to-video, image-to-video, multi-image fusion, 1080p upscaling, and multiple quality/speed models.

Korean Assembly Speech MCP

Enables search and retrieval of speech turns from Korea's National Assembly records using Korean or English natural-language queries, with citation-ready context and tools for exploring committees and meetings.

GammaRips Options Intelligence

Anti-firehose options-flow data for AI agents: curated daily pool, features, realized outcomes.

paperboy

An MCP server that delivers research papers to your e-reader, using Zotero as the source of truth. Allows searching, queuing, and sending papers to Kindle, PocketBook, or Kobo.

Claude-to-Gemini MCP Server

Enables Claude to use Google Gemini as a secondary AI through MCP for large-scale codebase analysis and complex reasoning tasks. Supports both Gemini Flash and Pro models with specialized functions for general queries and comprehensive code analysis.

A Simple MCP Server and Client

Okay, here's a simple example of an MCP (Minecraft Communications Protocol) client and server in Python. This is a very basic illustration and doesn't cover all the complexities of a real MCP implementation. It focuses on establishing a connection, sending a simple message, and receiving a response. **Important Considerations:** * **Security:** This example is *not* secure. It transmits data in plain text. For any real-world application, you'd need to implement proper encryption (e.g., TLS/SSL). * **Error Handling:** The error handling is minimal. A robust implementation would need more comprehensive error checking and recovery. * **MCP Complexity:** Real MCP involves much more complex data structures, authentication, and message types. This is a simplified demonstration. * **Dependencies:** This example uses the standard `socket` library, which is built into Python. **Server (server.py):** ```python import socket HOST = '127.0.0.1' # Standard loopback interface address (localhost) PORT = 25565 # Port to listen on (non-privileged ports are > 1023) with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: s.bind((HOST, PORT)) s.listen() print(f"Server listening on {HOST}:{PORT}") conn, addr = s.accept() with conn: print(f"Connected by {addr}") while True: data = conn.recv(1024) # Receive up to 1024 bytes if not data: break decoded_data = data.decode('utf-8') print(f"Received: {decoded_data}") # Simple response response = f"Server received: {decoded_data}".encode('utf-8') conn.sendall(response) ``` **Client (client.py):** ```python import socket HOST = '127.0.0.1' # The server's hostname or IP address PORT = 25565 # The port used by the server with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: s.connect((HOST, PORT)) message = "Hello, MCP Server!".encode('utf-8') s.sendall(message) data = s.recv(1024) print(f"Received: {data.decode('utf-8')}") ``` **How to Run:** 1. **Save:** Save the code as `server.py` and `client.py`. 2. **Run the Server:** Open a terminal or command prompt and run `python server.py`. The server will start listening for connections. 3. **Run the Client:** Open *another* terminal or command prompt and run `python client.py`. The client will connect to the server, send a message, and receive a response. **Explanation:** * **`socket.socket(socket.AF_INET, socket.SOCK_STREAM)`:** Creates a socket object. * `AF_INET`: Specifies the IPv4 address family. * `SOCK_STREAM`: Specifies a TCP socket (reliable, connection-oriented). * **`s.bind((HOST, PORT))` (Server):** Binds the socket to a specific address and port. * **`s.listen()` (Server):** Starts listening for incoming connections. * **`s.accept()` (Server):** Accepts a connection. This blocks until a client connects. It returns a new socket object (`conn`) representing the connection and the client's address (`addr`). * **`s.connect((HOST, PORT))` (Client):** Connects to the server at the specified address and port. * **`conn.recv(1024)` (Server & Client):** Receives data from the socket. The `1024` specifies the maximum number of bytes to receive at once. * **`conn.sendall(message)` (Server & Client):** Sends data to the socket. `sendall` ensures that all data is sent. * **`data.decode('utf-8')`:** Decodes the received bytes into a string using UTF-8 encoding. * **`message.encode('utf-8')`:** Encodes the string into bytes using UTF-8 encoding before sending. **Spanish Translation of Explanation:** * **`socket.socket(socket.AF_INET, socket.SOCK_STREAM)`:** Crea un objeto socket. * `AF_INET`: Especifica la familia de direcciones IPv4. * `SOCK_STREAM`: Especifica un socket TCP (confiable, orientado a la conexión). * **`s.bind((HOST, PORT))` (Servidor):** Vincula el socket a una dirección y puerto específicos. * **`s.listen()` (Servidor):** Comienza a escuchar las conexiones entrantes. * **`s.accept()` (Servidor):** Acepta una conexión. Esto se bloquea hasta que un cliente se conecta. Devuelve un nuevo objeto socket (`conn`) que representa la conexión y la dirección del cliente (`addr`). * **`s.connect((HOST, PORT))` (Cliente):** Se conecta al servidor en la dirección y el puerto especificados. * **`conn.recv(1024)` (Servidor y Cliente):** Recibe datos del socket. El `1024` especifica el número máximo de bytes para recibir a la vez. * **`conn.sendall(message)` (Servidor y Cliente):** Envía datos al socket. `sendall` asegura que todos los datos se envíen. * **`data.decode('utf-8')`:** Decodifica los bytes recibidos en una cadena utilizando la codificación UTF-8. * **`message.encode('utf-8')`:** Codifica la cadena en bytes utilizando la codificación UTF-8 antes de enviar. **Spanish Translation of Important Considerations:** * **Seguridad:** Este ejemplo *no* es seguro. Transmite datos en texto plano. Para cualquier aplicación del mundo real, necesitaría implementar un cifrado adecuado (por ejemplo, TLS/SSL). * **Manejo de errores:** El manejo de errores es mínimo. Una implementación robusta necesitaría una verificación y recuperación de errores más completa. * **Complejidad de MCP:** El MCP real implica estructuras de datos, autenticación y tipos de mensajes mucho más complejos. Esta es una demostración simplificada. * **Dependencias:** Este ejemplo utiliza la biblioteca estándar `socket`, que está integrada en Python. This provides a basic foundation. To build a more realistic MCP implementation, you would need to define specific message formats, handle different message types, implement authentication, and add robust error handling. Remember to prioritize security in any real-world application.

ArXiv MCP Server

Enables AI assistants to search arXiv's research repository, download papers, and access their content programmatically. Includes specialized prompts for comprehensive academic paper analysis covering methodology, results, and implications.

ketcher-mcp-server

MCP server for Ketcher chemical structure editor integration, enabling SMILES/MOL/InChI conversion, image generation, molecular property calculation, and validation.

@cyanheads/openfoodfacts-mcp-server

Look up food products by barcode, search by ingredient or nutrition filter, compare products side-by-side, and browse the canonical tag vocabulary via MCP.

PlainGov-MCP

Retrieves and explains government program information from official Canadian sources using a strict retrieval-first approach, with deterministic eligibility checks and full source attribution.

ai-ssh-mcp

Enables natural language SSH server management via Claude Code, allowing users to read logs, check services, run commands, and transfer files across multiple servers.

CodeRAG

A high-performance MCP server providing lightning-fast hybrid code search using TF-IDF and vector embeddings for AI assistants. It enables real-time codebase indexing and semantic retrieval with sub-50ms latency and offline support.

AEP MCP Server

The first full-featured MCP server for Adobe Experience Platform: 29 tools across schemas, datasets, profiles, segments, query service, and GDPR/CCPA privacy operations. Extends Adobe's read-only beta with production-grade write operations.

TechStack Local MCP Server

Transforms AI coding assistants into context-aware developers by auto-detecting project context, remembering conversations, and executing commands safely with a multi-layer security model.

mcp-fetch

A minimal MCP server that enables HTTP requests with any method, headers, and body types, supporting large responses through chunked transfers with disk-backed caching.

multimodels-mcp

Delegate tasks from Claude Code to other models (Codex CLI, DeepSeek, OpenRouter, etc.) without leaving the app.

aseprite-mcp

MCP server for safe local automation of Aseprite, providing tools to create, inspect, edit, save, and export pixel art documents through the official Aseprite CLI and controlled Lua scripts.

brainlayer

Local-first persistent memory layer for AI agents. Provides hybrid search (FTS5 keyword + vector embeddings) over 223K+ knowledge chunks via MCP. Tools: brain_search, brain_store, brain_entity, brain_subscribe. Features pub/sub with stable agent identity, delivery tracking, and Claude --channels integration. SQLite + BrainBar Swift daemon on Unix socket.

yt

An MCP server that provides YouTube data access without API keys or quotas. It enables agents to search videos, retrieve transcripts and metadata, and perform full-text search across cached content for AI context retrieval.

notion-enhanced

Enhanced Notion MCP server supporting all 24 property types, auto-pagination, block operations, and markdown conversion for database and page operations.

mcp-arcgis-kingston

Enables querying and searching City of Kingston GIS open geospatial datasets (parcels, zoning, transit, city services) via ArcGIS Feature Services.

TheUnderdark

An MCP server exposing narrowly scoped storage workflows with Overseer approval integration and redacted execution evidence, currently in fixture-only development for testing via stdio.

GitHub-Jira MCP Server

Enables secure integration between GitHub and Jira with permission controls, allowing users to manage repositories, create issues and pull requests, and handle Jira project workflows through natural language. Supports OAuth authentication and comprehensive security enforcement for both platforms.

asc-mcp

An opinionated MCP server for App Store Connect that provides 13 curated tools, slash-command workflows, and a Claude Skill to manage apps, reviews, sales, and pre-submission audits via natural language.

String AI Web Access MCP Server

Provides web access tools (fetch, search, sitemap crawl) through String AI's API, automatically handling anti-bot bypass, CAPTCHA, and JavaScript rendering.

Simplifi Local Read-Only MCP

Enables local read-only exploration of Quicken Simplifi financial data through MCP, with tools for searching transactions, categories, tags, and merchants, using a local SQLite cache and token-based authentication.