Discover Awesome MCP Servers
Extend your agent with 33,059 capabilities via MCP servers.
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- Developer Tools3,867
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- Language Translation3
- Legal & Compliance2
System Diagnostics MCP Server
Provides system diagnostic capabilities including CPU, memory, disk usage, top processes, and port status checking.
PostgreSQL Model Context Protocol (PG-MCP) Server
Roblox MCP Unified Server
Comprehensive Roblox development server with 8 tools for managing Lua/Luau scripts including creation, validation, backup/restore, and project management with SQLite storage and HMAC authentication.
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.
Cloudflare Remote MCP Server (Authless)
A deployable Model Context Protocol server for Cloudflare Workers that enables AI models to use custom tools without requiring authentication.
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.
FSS Pension MCP Server
Provides FSS (Korean Financial Supervisory Service) pension data to AI models like Claude through Model Context Protocol, enabling real-time pension product information retrieval and personalized AI-based pension consultation services.
MasterGo Magic MCP
Connects AI models to MasterGo design tools, enabling retrieval of DSL data, component documentation, and metadata from MasterGo design files for structured component development workflows.
TempoGraph
Code graph context engine that parses codebases with tree-sitter (170+ languages), builds structural dependency graphs, and provides 24 MCP tools for code intelligence. One prepare_context call gives your AI agent the right files for any task. Includes focus, blast radius, hotspots, dead code detection, and hybrid search.
ICON MCP v103
Provides AI agents and LLMs with secure access to the ICON MCP v103 API via Bearer tokens or HTTP 402 payment protocols. It enables standardized interaction with market data and API endpoints through the Model Context Protocol.
recon-fuzz-chimera-mcp
Recon Fuzz Chimera MCP knowledge to multi fuzzing enviornments compatibility in Solidity Smart contracts
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.
MCP Webhook Server
An MCP server that enables sending data to webhooks via HTTP POST for both local and remote team environments. It provides a tool for relaying task descriptions, custom metadata, and automated notifications to external services.
MCP Sheet Parser
A Model Context Protocol server designed for AI assistants to directly process spreadsheet files, enabling them to read, display, modify, and save various table formats like CSV and Excel.
arXiv Research MCP Server
Enables natural language search and analysis of arXiv academic papers with AI-powered relevance ranking, full-text extraction, and support for multiple integrations like Claude and LangChain.
@gscalzo/stackoverflow-mcp
A Model Context Protocol server that enables querying Stack Overflow for programming solutions, including search by error messages, tags, and stack trace analysis.
Claude Deep Think MCP Server
Provides proactive deep analytical thinking using Claude Sonnet 4.5 before writing code, helping analyze errors, requirements, and architectural decisions to produce better quality code with fewer iterations.
MCP Spark Documentation Server
Provides full-text search and retrieval tools for Apache Spark documentation using SQLite FTS5 with BM25 ranking. It enables AI assistants to efficiently search, filter by section, and read specific Spark documentation pages.
code-rules-mcp
Here are a few ways to translate "MCP server for reliably reading code rules into Agentic AI context" into Spanish, with slightly different nuances: * **Opción 1 (Más directa):** Servidor MCP para leer de forma fiable reglas de código en el contexto de IA Agéntica. * **Opción 2 (Enfatizando la fiabilidad):** Servidor MCP para la lectura fiable de reglas de código en el contexto de IA Agéntica. * **Opción 3 (Usando "incorporar" para "reading into"):** Servidor MCP para incorporar de forma fiable reglas de código al contexto de IA Agéntica. * **Opción 4 (Más descriptiva):** Servidor MCP para la lectura e integración fiable de reglas de código en el contexto de la IA Agéntica. **Breakdown of the choices:** * **MCP Server:** "Servidor MCP" is a direct translation and likely the best choice if "MCP" is a well-known acronym in your target audience. If not, you might need to explain what MCP stands for. * **Reliably reading:** "Leer de forma fiable" and "Lectura fiable" are both good options. The first is more active, the second more passive. "Incorporar de forma fiable" is also a good option if you want to emphasize the integration aspect. * **Code rules:** "Reglas de código" is the standard translation. * **Agentic AI context:** "Contexto de IA Agéntica" is a direct translation and generally understood. **Recommendation:** I would recommend **Opción 2: Servidor MCP para la lectura fiable de reglas de código en el contexto de IA Agéntica.** It's concise, accurate, and emphasizes the reliability aspect. However, if you need to emphasize the integration of the rules, **Opción 3** is a good alternative.
HubSpot MCP Server
A Type 4 OAuth MCP server that enables AI assistants to interact with HubSpot CRM objects like contacts, companies, deals, and tickets.
MCP RSS
Enables intelligent RSS feed management with AI-powered semantic search, advanced filtering, and a comprehensive reading workflow. Supports OPML parsing, article organization with status tracking, and token-efficient browsing of large feed collections.
GitHub MCP Server
Here are a few ways to translate "Github MCP Server to integrate with CI flows" into Spanish, with slightly different nuances: * **Opción 1 (Más directa):** Servidor MCP de Github para integrarse con flujos de CI. * **Opción 2 (Un poco más explicativa):** Servidor MCP de Github para la integración con flujos de trabajo de CI. * **Opción 3 (Enfatizando el uso):** Servidor MCP de Github para usar con flujos de CI. * **Opción 4 (Más formal):** Servidor MCP de Github para su integración en flujos de CI. **Explanation of Choices:** * **MCP:** It's likely best to leave "MCP" as is, assuming it's an acronym or specific term. If you know what it stands for, you *could* translate that, but without knowing the context, it's safer to keep it as "MCP." * **CI Flows:** "CI flows" is commonly understood in the tech world, so "flujos de CI" is a good translation. "Flujos de trabajo de CI" is a bit more explicit ("workflow" is added). * **Integrate:** "Integrar" is the direct translation of "integrate." "Integrarse" is the reflexive form, meaning "to integrate oneself" or "to be integrated." Both are valid, but "integrarse" might be slightly more common in this context. * **Para:** This is the most common translation of "to" in this context. Therefore, I would recommend **Opción 2: Servidor MCP de Github para la integración con flujos de trabajo de CI.** It's clear and accurate.
EntityIdentification
A MCP server that helps determine if two sets of data belong to the same entity by comparing both exact and semantic equality through text normalization and language model integration.
superpowers-mcp
An MCP server that makes superpowers skills available to any LLM that supports the Model Context Protocol.
MCP Market
FAOSTAT MCP Server
Enables AI assistants to query the full FAOSTAT API for global food and agriculture statistics, allowing natural-language questions about crop production, trade, food security, emissions, and more.
ContextKeep
Provides infinite long-term memory for AI agents with persistent, searchable storage of project details, preferences, and snippets. Reduces token costs by retrieving only relevant memories while keeping all data stored locally.
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.
Pulsar Edit MCP Server
Enables LLMs to interact with and control the Pulsar text editor through a variety of file and text manipulation commands. It allows for tasks like code editing, context retrieval, and project navigation using either a built-in chat panel or external MCP clients.
AutoCAD MCP Server
Enables AI agents to interact with AutoCAD through Python automation to draw geometric shapes like lines, circles, and polylines in real-time. It facilitates direct control of a running AutoCAD instance on Windows for basic geometric element creation.