Discover Awesome MCP Servers

Extend your agent with 23,681 capabilities via MCP servers.

All23,681
Library Docs MCP Server

Library Docs MCP Server

Searches and fetches real-time documentation for libraries like Langchain, OpenAI, and Llama-Index using the Serper API. It allows LLMs to access up-to-date technical information and bypass knowledge cut-off limitations.

Where's Waldo Rick

Where's Waldo Rick

An MCP server that provides agentic vision capabilities for visual regression testing by capturing and comparing screenshots using Gemini Flash. It enables users to detect UI changes and conduct conversational investigations to distinguish between intended and unintended visual modifications.

Mathematica MCP Server

Mathematica MCP Server

Allows LLMs to execute Wolfram Language code in a secure, session-based environment by providing an interface to interact with a Wolfram Mathematica kernel.

Financial Data MCP Server

Financial Data MCP Server

A Model Context Protocol server that provides financial tools for retrieving real-time stock data, analyst recommendations, financial statements, and web search capabilities for a LangGraph-powered ReAct agent.

Naver Search MCP Server

Naver Search MCP Server

Provides access to Naver Search APIs, allowing AI agents to search across multiple categories (blogs, news, books, images, shopping items, etc.) with structured responses optimized for LLM consumption.

Obsidian MCP Server

Obsidian MCP Server

Connects AI assistants directly to Obsidian vaults with intelligent note creation using templates, semantic search, smart tagging to avoid duplicates, and specialized agent roles (Guardian, Researcher, Connection Weaver) for managing knowledge bases.

Component Library MCP Server

Component Library MCP Server

Provides AI assistants with access to private React component library documentation, props, and code examples through type-safe TypeScript integration.

InstantDB MCP Server

InstantDB MCP Server

A read-only interface for querying InstantDB that dynamically loads schemas and enables executing queries through pre-defined patterns.

Apifox MCP

Apifox MCP

Enables AI assistants to automatically manage Apifox API documentation by importing OpenAPI/Swagger specifications and exporting existing API structures. Supports batch operations, intelligent deprecation marking, and smart scope detection for partial module imports.

GMS2 MCP Server

GMS2 MCP Server

An MCP server that parses GameMaker Studio 2 projects, providing developers and AI agents with quick access to project structure, GML code, and asset metadata.

MCP Server TypeScript Starter

MCP Server TypeScript Starter

A Model Context Protocol (MCP) server that provides location services

Devpipe MCP Server

Devpipe MCP Server

Enables AI assistants to interact with devpipe, a local pipeline runner, allowing them to list tasks, run pipelines, validate configurations, debug failures, analyze security findings, and generate CI/CD configs through natural language.

Google Docs MCP Server

Google Docs MCP Server

Enables Claude to read, create, and update Google Docs through OAuth authentication. Deployed as a remote Next.js server on Vercel with support for multiple users and secure API key management.

MCP Agents Server

MCP Agents Server

Facilitates interaction and context sharing between AI models using the standardized Model Context Protocol (MCP) with features like interoperability, scalability, security, and flexibility across diverse AI systems.

Time MCP Server

Time MCP Server

Provides current time information and timezone conversion capabilities using IANA timezone names. Enables LLMs to get current time in any timezone and convert times between different timezones with automatic system timezone detection.

TreasuryOS

TreasuryOS

An AI-powered treasury management MCP server that enables users to perform commercial banking analysis, including cash flow forecasting, idle cash detection, and debt covenant monitoring. It provides tools to surface financial insights and optimize working capital through automated processing of bank and transaction data.

my-design MCP Server

my-design MCP Server

An MCP server that enables AI to interact with the private 'my-design' React component library and design tokens for UI generation and technical support. It provides tools for component searching, API documentation retrieval, and migration guidance based on specific internal design specifications.

MCP to LangChain/LangGraph Adapter

MCP to LangChain/LangGraph Adapter

Okay, here's a translation of "Adapter that turns MCP server tools into Langchain usable tools" into Japanese, along with some considerations for different nuances: **Option 1 (Most Direct Translation):** * **MCPサーバーツールをLangchainで利用可能なツールに変換するアダプター** * *MCP sābā tsūru o Langchain de riyō kanō na tsūru ni henkan suru adaputā* * This is a very literal translation. It's clear and understandable. **Option 2 (More Natural Flow):** * **MCPサーバーツールをLangchainツールとして使えるようにするアダプター** * *MCP sābā tsūru o Langchain tsūru to shite tsukaeru yō ni suru adaputā* * This version emphasizes the *usability* of the tools within the Langchain framework. It reads a bit more naturally in Japanese. **Option 3 (Focus on Integration):** * **MCPサーバーツールとLangchainを統合するアダプター** * *MCP sābā tsūru to Langchain o tōgō suru adaputā* * This focuses on the *integration* aspect, highlighting that the adapter bridges the gap between the two systems. **Option 4 (Technical, Emphasizing "Interface"):** * **MCPサーバーツールをLangchainツールとして利用するためのインターフェースアダプター** * *MCP sābā tsūru o Langchain tsūru to shite riyō suru tame no intāfēsu adaputā* * This is a more technical translation, using the word "interface" to describe the adapter's function. It's suitable if you want to emphasize the technical aspect of providing a connection point. **Which one to choose depends on the context:** * If you want a simple, direct translation, **Option 1** is a good choice. * If you want to emphasize the ease of use within Langchain, **Option 2** is better. * If you want to highlight the connection between the two systems, **Option 3** is best. * If you're targeting a technical audience and want to emphasize the adapter's role as an interface, **Option 4** is the most appropriate. I would personally lean towards **Option 2** as it sounds the most natural and conveys the intended meaning effectively.

mcp-server

mcp-server

Jinko

Jinko

Jinko

Kali MCP Server

Kali MCP Server

Provides a containerized Kali Linux environment that gives AI assistants access to a comprehensive suite of security and penetration testing tools. It enables automated vulnerability scanning, network reconnaissance, and secure command execution through the Model Context Protocol.

Instagram DM MCP Server

Instagram DM MCP Server

Enables sending and receiving Instagram Direct Messages, managing conversations, downloading media, viewing user profiles and stories, and interacting with posts through natural language in Claude.

Ixnetwork Mcp

Ixnetwork Mcp

IxNetworkセッション管理用のMCPサーバー

Ping MCP Server

Ping MCP Server

An MCP server that allows users to ping other hosts to check network connectivity and diagnostic information. It enables LLMs to perform network latency tests and host availability checks through a standardized interface.

Fathom MCP Server

Fathom MCP Server

Enables AI agents to access Fathom AI meeting data including transcripts, summaries, teams, and team members. Provides tools to list meetings with filters, retrieve detailed transcripts and summaries, and manage team information.

MCP Spec Generator

MCP Spec Generator

Generates project specifications and file structures using Claude AI through MCP integration. Enables users to describe project ideas and automatically create corresponding documentation and project files.

MCP Plus

MCP Plus

A lightweight MCP server that enhances AI agents with tools for codebase analysis, task delegation to sub-agents, multi-agent coordination through chatrooms, and project todo management.

Cursor n8n Builder

Cursor n8n Builder

Enables AI assistants in Cursor IDE to manage n8n workflows through the n8n REST API, including creating, updating, activating workflows, viewing execution history, and triggering webhooks.

Loop MCP Server

Loop MCP Server

Enables LLMs to process arrays item-by-item or in batches with a specific task, storing and retrieving results with optional summarization after completion.

PostgreSQL MCP Server

PostgreSQL MCP Server

Enables interaction with PostgreSQL databases through both HTTP and stdio transports. Supports executing read-only SQL queries, listing tables, and retrieving schema information with stateful session management.