Discover Awesome MCP Servers
Extend your agent with 84,516 capabilities via MCP servers.
- All84,516
- Developer Tools3,867
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- AI Integration Systems229
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- Programming Docs Access109
- Content Fetching108
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- Digital Note Management66
- AI Memory Systems62
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Better Mealie MCP
Provides complete access to Mealie's API for managing recipes, meal plans, shopping lists, households, and more via natural language from AI assistants.
myanimelist-mcp
Okay, here's the translation of "MCP server for myanimelist integration with LLMs" into Spanish, along with some options depending on the nuance you want to convey: **Option 1 (Most Direct):** * **Servidor MCP para la integración de MyAnimeList con LLMs** **Option 2 (Slightly More Explanatory):** * **Servidor MCP para integrar MyAnimeList con modelos de lenguaje grandes (LLMs)** **Option 3 (Focus on Functionality):** * **Servidor MCP para la integración con MyAnimeList, usando modelos de lenguaje grandes (LLMs)** **Explanation of Choices:** * **MCP:** "MCP" is likely an acronym and is generally left as is in Spanish unless you know what it stands for and there's a common Spanish equivalent. * **MyAnimeList:** This is a proper noun and is also generally left as is. * **LLMs:** "LLMs" stands for Large Language Models. You have a few choices here: * Leave it as "LLMs" (common in technical contexts). * Translate it to "modelos de lenguaje grandes" (more explicit). * Use "modelos de lenguaje grandes (LLMs)" to provide both. * **Integración:** This is the standard translation of "integration." * **Para:** This translates to "for" in the sense of "intended for" or "used for." * **Usando:** This translates to "using" I would recommend **Option 2** if you want to be as clear as possible, especially if your audience might not be familiar with the acronym "LLMs." If your audience is technically savvy, **Option 1** is perfectly acceptable.
youtube-mcp
A local MCP server for extracting YouTube video transcripts, metadata, and performing visual analysis using Gemini Vision or local Whisper models. It enables users to process video content through various tools for subtitle retrieval and frame analysis.
HexDocs MCP Server
@yawlabs/aws-mcp
A small AWS MCP for AI assistants: one server, one config entry, SSO re-auth baked in, generic CRUD over hundreds of resource types, live docs lookup, server-side scripting for batched workflows.
Next.js MCP Server
A sample MCP server implementation for Next.js projects that uses the Vercel MCP Adapter to handle protocol requests across different transport methods.
semantic-kinematics-mcp
Embedding space analysis toolkit that measures semantic drift, traces trajectory dynamics, and projects passages onto caller-defined semantic axes, exposed as MCP tools for agentic integration.
ArXiv MCP Server
Provides arXiv paper search, download, Chinese translation, and WeChat article generation, supporting custom LLM APIs.
dejaview-mcp
Provides persistent knowledge graph memory for AI agents, enabling them to store, recall, and query facts about people, projects, and relationships across sessions.
Karate MCP Server
Provides AI agents with comprehensive knowledge of the Karate DSL framework for API testing, UI automation, and performance testing.
mindreader-mcp
Connects MindReader knowledge graph to MCP clients, enabling AI assistants with persistent memory and entity/relationship management.
Auxen MCP
Provision private AI model endpoints (Llama 3.1, Qwen 2.5, Mistral) on dedicated GPUs, billed per minute. OAuth 2.1 + DCR.
endplay-dd-mcp-server
Exposes endplay double-dummy calculations for chatbots/agents, providing full trick tables for bridge deals.
oanda-mcp
MCP server for the Oanda v20 REST API enabling forex/CFD trading account management, market data retrieval, and order/trade operations with a read-first design and practice environment by default.
Access MCP Server by CData
Access MCP Server by CData
Meok Abci Bridge MCP
Read-only Tendermint/Cosmos blockchain query for agents, with 10 pre-configured mainnets and custom RPC support.
slimctx-token-optimizer
Provides reversible context compression for AI agents, reducing token usage while preserving the ability to retrieve original content, and serves as an MCP server for integration with tools like GitHub Copilot and Claude Code.
Browseagent MCP
Enables AI agents to control web browsers through the Model Context Protocol, supporting navigation, clicking, typing, and screenshots.
safe-fetch-mcp-server
A secure MCP server for fetching web content for agents, with provably correct SSRF protection against edge cases, redirects, and DNS rebinding.
meshcore-mcp
A Model Context Protocol server that exposes a MeshCore node and the mesh reachable through it as a clean, high-signal interface for AI agents or tools.
feedback-mcp-server
A lightweight MCP server that enables AI assistants to collect interactive user feedback via a browser window with full Markdown rendering and syntax highlighting.
MCP Server Template (TypeScript)
A minimal Model Context Protocol server template deployable on Render, providing Streamable HTTP transport, bearer token authentication, and a pattern for adding custom tools.
obsmcp
A local-first MCP server and continuity control plane that helps AI coding tools maintain project state, tasks, and context across sessions, models, and interruptions, with features like session tracking, token-efficient context assembly, and code understanding via Code Atlas.
mcp-data-cityofchicago
MCP server providing access to Chicago city data from data.cityofchicago.org via Socrata API. Enables querying and retrieving city datasets through natural language when used with the Pipeworx gateway.
Nota Fiscal
Emita e gerencie notas fiscais de serviço (NFS-e) conversando com o agente, hospedado pela plataforma, sem precisar de conta na nfe.io.
Chromium Commits Query Tool
Enables querying the latest commit information for any file in the Chromium repository, including commit hash, author, timestamp, message, and modified files through the Gitiles API.
mcp-servers (Six production-minded MCP servers)
A workspace of six MCP servers—grounded-cv (hybrid RAG with citations), repo-intel (GitHub repo intelligence), web-research (safe web search/extraction), ats-jobs (unified ATS job boards), outcome-ledger (durable task ledger), and coding-workflows (code review & planning)—purpose-built for agentic hiring evaluations.
agent-api-gateway-mcp
MCP server that extracts structured JSON from public URLs for AI agents using schemas like product, article, and company.
kakunin-mcp
Enables AI agents to self-verify their authorized scope, check risk scores, and log behavioral events via the Kakunin compliance API.
XMCP Application
A server that leverages the XMCP framework to discover and execute tools from the src/tools directory, supporting both SSE and STDIO transport methods for interaction.