Discover Awesome MCP Servers

X64Dbg MCP Server

Enables AI-assisted reverse engineering and debugging through x64dbg integration. Provides 40+ tools for breakpoint management, memory operations, register manipulation, code analysis, process control, and advanced debugging features.

Vikunja MCP Server

Enables interaction with Vikunja task management instances through natural language. Supports comprehensive project and task operations including CRUD, assignments, labels, comments, relations, and attachments.

Bigeye MCP Server

Enables interaction with the Bigeye Data Observability platform to query data quality issues, analyze data lineage and dependencies, track AI agent data access patterns, and perform root cause analysis for data issues.

QuickBooks MCP Server

A secure, local-first MCP server that enables users to query QuickBooks data such as accounts, bills, and customers using natural language within Claude Desktop. It provides a direct interface to the QuickBooks API for streamlined financial data retrieval and management.

AgentReacher

Connect your AI to social media. Open-source platform for AI agents.

Local Explorer MCP

Enables AI assistants to intelligently search and explore local file systems using native Unix commands (ripgrep, find, ls) with token-optimized output, automatic pagination, and multi-layer security validation.

Inngest MCP Docs Server

A Model Context Protocol server that provides AI coding agents with access to up-to-date Inngest documentation by fetching and converting web content to Markdown format.

🦙 ollama-mcpo-adapter

Adaptador para exponer MCPO, el servidor proxy MCP a OpenAPI, herramientas en formato compatible con Ollama.

DuckChain MCP Server

Enables comprehensive blockchain data analysis and exploration through the BlockScout API. Provides 56+ tools for transaction analysis, address exploration, token management, smart contract analysis, and market research across multiple blockchain networks.

MCP4All

Enables automatic documentation of GitHub projects as blog posts by fetching repository README files through the GitHub API. Provides a simple HTTP server that downloads and saves GitHub project documentation to local markdown files for blog content generation.

OpenFDA

A Model Context Protocol (MCP) server for querying drug information from the OpenFDA API. Features Retrieve drug label information by brand name Retrieve drug information by generic (active ingredient) name Get all brand versions of a generic drug Get adverse event (side effect) reports for a drug

Mcpclient

Here are a few options for translating "Client to demonstrate the test of an MCP server with OpenAI LLM," depending on the nuance you want to convey: **Option 1 (Most straightforward):** * **Español:** Cliente para demostrar la prueba de un servidor MCP con OpenAI LLM. **Option 2 (Slightly more formal, emphasizing the purpose):** * **Español:** Cliente para demostrar la prueba de un servidor MCP utilizando OpenAI LLM. **Option 3 (Focusing on the demonstration itself):** * **Español:** Demostración por parte de un cliente de la prueba de un servidor MCP con OpenAI LLM. **Option 4 (More descriptive, emphasizing the integration):** * **Español:** Cliente para demostrar la prueba de un servidor MCP integrado con OpenAI LLM. **Explanation of Choices:** * **"Cliente"** is the standard translation for "Client." * **"Demostrar"** is the standard translation for "to demonstrate." * **"Prueba"** is the standard translation for "test." * **"Servidor MCP"** remains the same as it's likely a technical term. * **"Con"** and **"Utilizando"** both translate to "with" or "using." "Utilizando" is slightly more formal. * **"OpenAI LLM"** remains the same as it's a proper noun and technical term. * **"Integrado con"** translates to "integrated with," emphasizing the connection between the server and the LLM. * **"Demostración por parte de un cliente"** translates to "Demonstration by a client," shifting the focus to the act of demonstrating. Choose the option that best fits the context and the level of formality you need. If you need to be very precise, providing more context about the MCP server and the nature of the test would help me refine the translation further.

OpenDeepSearch

Una herramienta de investigación que realiza investigaciones exhaustivas y profundas sobre temas complejos, combinando el pensamiento secuencial con las capacidades de Brave Search para proporcionar informes detallados y bien documentados.

Zerodha Integration

Integra la plataforma de trading de Zerodha con Claude AI utilizando el marco de trabajo Multi-Cloud Plugin, permitiendo a los usuarios interactuar con su cuenta de trading de Zerodha directamente a través de Claude para operaciones de compraventa de acciones y fondos mutuos.

Neo4j Agent Memory MCP Server

Enables AI agents to store, retrieve, and connect information in a Neo4j graph database as persistent memory, with semantic relationships, natural language search, and temporal tracking across conversations.

Brasil API MCP

Un servidor de Protocolo de Contexto de Modelo que conecta asistentes de IA a servicios de datos públicos brasileños, proporcionando acceso a códigos postales, registros de empresas, información bancaria, códigos de área, datos del IBGE, tipos de cambio de divisas y estado de registro de dominios.

NIST CSF 2.0 Assessment Platform

Enables comprehensive NIST Cybersecurity Framework 2.0 assessments with 40+ MCP tools for maturity scoring, gap analysis, implementation planning, risk assessment, and executive reporting across 740 security questions.

aegis

Policy-based governance for AI agent tool calls. YAML policies, approval gates, risk assessment, and audit logging across LangChain, OpenAI, Anthropic, and MCP.

Skeleton MCP Server

A template project for building Model Context Protocol servers with FastMCP framework, Docker support, and example CRUD API implementation to help developers quickly bootstrap their own MCP servers.

MCP Server with GitHub OAuth

A Model Context Protocol server that enables remote connections with GitHub authentication, allowing users to build applications that leverage MCP tools with secure OAuth-based access control.

MCP Servers

Una herramienta que permite el control automatizado del navegador utilizando Pyppeteer dentro del marco de trabajo MCP, permitiendo la navegación, la captura de pantalla y la interacción con elementos de sitios web.

COAIA Sequential Thinking

Facilitates structured creative thinking through sequential thought processing, helping users shift from reactive problem-solving to proactive outcome creation using structural tension analysis and stage-based thinking workflows.

Undoom Uninstaller MCP

Enables Windows program management through MCP, including listing installed programs, uninstalling software, force removal, and cleaning residual files. Supports generating detailed Markdown reports of system programs with smart categorization and statistics.

Mcp Directory

Descubre servidores y clientes MCP para la integración de Claude.

SupaUI MCP

Un servidor de Protocolo de Contexto de Modelo que permite a los agentes de IA generar, obtener y gestionar componentes de la interfaz de usuario a través de interacciones en lenguaje natural.

HashBuilds Secure Prompts

Enables AI assistants to register prompts for security verification, checking for hidden injections, data exfiltration patterns, and jailbreak attempts, then generate embed codes for displaying security badges on websites.

MCP

Here are a few ways to translate "Personal MCP Server for LLM" into Spanish, depending on the specific meaning you want to convey: **Option 1 (Most Literal):** * **Servidor MCP personal para LLM** * This is a direct translation and is generally understandable. "LLM" is often used as-is in Spanish-speaking technical contexts. **Option 2 (Slightly More Descriptive):** * **Servidor MCP privado para LLM** * Using "privado" (private) instead of "personal" can emphasize the exclusive nature of the server. **Option 3 (Focus on Individual Use):** * **Servidor MCP de uso personal para LLM** * This emphasizes that the server is *for* personal use. **Option 4 (If "MCP" needs clarification):** * **Servidor MCP personal para modelos de lenguaje grandes (LLM)** * This spells out "LLM" as "modelos de lenguaje grandes" (large language models) for clarity, especially if your audience might not be familiar with the acronym. You could also use "modelos de lenguaje extensos" which is another common translation. **Which option is best depends on the context:** * If your audience is technically savvy and familiar with the acronym "LLM," **Option 1 or 2** are likely sufficient. * If you want to emphasize that the server is *specifically* for personal use, **Option 3** is a good choice. * If you need to ensure everyone understands what "LLM" means, **Option 4** is the safest bet. Therefore, I recommend **Servidor MCP personal para LLM** as a good starting point, but consider the other options based on your specific needs.

WHOOP MCP Server

Enables LLMs to retrieve and analyze sleep, recovery, and physiological cycle data from the WHOOP API. It provides tools for accessing detailed metrics such as strain, HRV, and readiness scores through secure OAuth 2.0 authentication.

DB CLI MCP Server

Provides a unified, read-only interface for executing SQL queries across multiple database engines including SQL Server, MySQL, and PostgreSQL via CLI tools. It features automatic project configuration detection and strict query validation to ensure safe AI-driven data interactions.