Discover Awesome MCP Servers

Extend your agent with 84,516 capabilities via MCP servers.

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Spotify MCP Server

Spotify MCP Server

Enables control of Spotify playback and management of liked songs through natural language. Supports play/pause controls, track information retrieval, and adding songs to your Spotify library.

oh-my-sage-mcp

oh-my-sage-mcp

An MCP server that enables natural language creation and management of Xiaomi Mi Home automation rules, integrating with AI coding assistants to query devices and manipulate automation graphs.

MCP-Yahoo Finance IA

MCP-Yahoo Finance IA

A comprehensive Model Context Protocol (MCP) server that transforms Yahoo Finance into a powerful financial analysis platform, providing real-time market data, advanced analytics, and visualizations for professional traders and AI assistants.

Neo4j Knowledge Graph MCP Server

Neo4j Knowledge Graph MCP Server

Provides LLM clients with a persistent, scalable knowledge graph memory system that supports semantic retrieval, contextual recall, and temporal awareness.

Agentset

Agentset

File Search Server

File Search Server

Enables intelligent file searching in local directories using natural language queries. Supports searching by file type, filename patterns, and content across multiple formats including PDF, Word, Excel, and text files with AI-powered relevance scoring.

Karakeep MCP Server

Karakeep MCP Server

Okay, here's how you can search for and create bookmarks in Karakeep (Hoarder), translated into Spanish: **English:** **Searching:** 1. **Open Karakeep (Hoarder).** 2. **Use the Search Bar:** Look for the search bar, usually located at the top of the application window. 3. **Enter Your Search Term:** Type the word, phrase, or URL you're looking for in the search bar. 4. **Press Enter or Click the Search Icon:** This will initiate the search. 5. **Review the Results:** Karakeep will display a list of bookmarks that match your search term. **Creating Bookmarks:** 1. **Open Karakeep (Hoarder).** 2. **Navigate to the Page You Want to Bookmark:** Open the website or document you want to save. 3. **Use the Bookmark Function:** This might be a button, menu option, or keyboard shortcut. Look for something like "Add Bookmark," "Save Page," or a star icon. 4. **Edit Bookmark Details (Optional):** A dialog box might appear allowing you to: * **Change the Title:** Give the bookmark a descriptive name. * **Add Tags/Categories:** Organize your bookmarks by assigning them tags or categories. * **Choose a Folder:** Save the bookmark to a specific folder within Karakeep. 5. **Save the Bookmark:** Click "Save," "Add," or a similar button to finalize the bookmark creation. **Spanish:** **Búsqueda:** 1. **Abre Karakeep (Hoarder).** 2. **Usa la Barra de Búsqueda:** Busca la barra de búsqueda, que generalmente se encuentra en la parte superior de la ventana de la aplicación. 3. **Introduce tu Término de Búsqueda:** Escribe la palabra, frase o URL que estás buscando en la barra de búsqueda. 4. **Presiona Enter o Haz Clic en el Icono de Búsqueda:** Esto iniciará la búsqueda. 5. **Revisa los Resultados:** Karakeep mostrará una lista de marcadores que coincidan con tu término de búsqueda. **Creación de Marcadores:** 1. **Abre Karakeep (Hoarder).** 2. **Navega a la Página que Quieres Marcar:** Abre el sitio web o documento que deseas guardar. 3. **Usa la Función de Marcador:** Esto podría ser un botón, una opción de menú o un atajo de teclado. Busca algo como "Añadir Marcador", "Guardar Página" o un icono de estrella. 4. **Edita los Detalles del Marcador (Opcional):** Podría aparecer un cuadro de diálogo que te permita: * **Cambiar el Título:** Dale al marcador un nombre descriptivo. * **Añadir Etiquetas/Categorías:** Organiza tus marcadores asignándoles etiquetas o categorías. * **Elegir una Carpeta:** Guarda el marcador en una carpeta específica dentro de Karakeep. 5. **Guarda el Marcador:** Haz clic en "Guardar", "Añadir" o un botón similar para finalizar la creación del marcador. **Important Notes:** * The exact wording and appearance of the interface may vary slightly depending on the specific version of Karakeep (Hoarder) you are using. * If you are having trouble finding a specific feature, consult the Karakeep (Hoarder) documentation or help files. Let me know if you have any other questions!

odoo-mcp

odoo-mcp

An MCP server that connects AI assistants to Odoo ERP instances via the built-in XML-RPC API without requiring any additional addons. It enables users to search, create, update, and manage Odoo records and models through natural language.

Tribunal TRT: Consulta Processual Unificada

Tribunal TRT: Consulta Processual Unificada

MCP server for querying Brazilian Labor Court (TRT) legal proceedings from official sources, offering a read-only tool for unified procedural consultation.

contextforge-mcp

contextforge-mcp

Enables AI-powered IDEs to access live project conventions, prior decisions, and relevant context through four purpose-built tools.

appflowy-mcp

appflowy-mcp

A self-hosted, token-scoped Model Context Protocol server for AppFlowy. It gives AI agents tools to read and edit your AppFlowy workspaces while bounding each client to exactly the pages you allow via per-token tree-shaped scopes.

Sales Analyzer MCP

Sales Analyzer MCP

Sales anomaly detection for a sample café dataset. Enables analyzing weekly sales, product history, and detecting anomalies like closures or pricing glitches.

Rampify MCP Server

Rampify MCP Server

Integrates SEO analysis and Google Search Console data directly into Claude Code and Cursor. Performs real-time site audits, detects technical SEO issues, validates meta tags, generates structured data, and provides AI-powered recommendations for both production sites and local development servers.

AllocContext

AllocContext

Portfolio-aware crypto context for AI agents. Discover holdings, market, sentiment, macro, and regime; optional allocation analysis. Hosted streamable HTTP MCP with x402 on Base (USDC/EURC). Privacy: pass-through only — keys never stored. Also on PyPI: pip install "alloc-context\[mcp]". Integration: https://github.com/negillett/alloc-context/blob/main/docs/agent-integration.md

iMessage MCP Server

iMessage MCP Server

Enables reading, searching, and sending iMessages on macOS by accessing the local messages database and utilizing AppleScript. Users can list conversations, search message history, and send messages to individuals or group chats directly through the Model Context Protocol.

@hubnote-mcp/server

@hubnote-mcp/server

MCP server for hubNote, enabling AI assistants to manage workspaces, pages, and data rows via natural language.

Wiro MCP Server

Wiro MCP Server

Official MCP server for Wiro AI that provides access to hundreds of AI models for generation, editing, and analysis from any MCP-compatible assistant.

marco-tenant-mcp

marco-tenant-mcp

Streamable HTTP MCP server on Google Cloud Run that connects to Google Apps Script to enable property management workflows, including HTML to PDF conversion, file sharing, datastore updates, and file management.

Formester

Formester

Give AI agents access to Formester form submissions. Read individual responses, search and filter across forms, write AI-generated insights back as custom fields, and process file attachments including PDFs and images.

wa-audit

wa-audit

Enables comprehensive audit of WhatsApp business conversations, including history export, LLM analysis with verification, and multi-format report generation.

medicover-mcp

medicover-mcp

Enables AI agents to manage appointments on Medicover's Polish patient portal, including booking, rescheduling, and slot searching for patients and dependents.

x-wing-mcp

x-wing-mcp

An MCP server for X (Twitter) that enables creating posts, threads, likes, follows, and DMs, plus reading posts, timelines, mentions, and search results via a unified OAuth 2.0 connection.

AI Readiness

AI Readiness

Check whether a website is visible to AI search engines (ChatGPT, Perplexity, Claude, Google AI Overviews). Returns a 0-100 readiness score, a grade, and a specific fix for each gap. Dependency-free, no API keys.

app.anakior/atlas-mind

app.anakior/atlas-mind

Atlas Mind MCP server exposes 24 tools to read, write, triage, map, rewind, and audit a knowledge base stored as plain files in a git repository, enabling AI assistants to act as an external brain.

Inliner MCP Server

Inliner MCP Server

Enables AI coding agents to manage image projects, generate and edit images, and check usage via Inliner.ai through natural language commands.

ai-log-mcp-server

ai-log-mcp-server

Enables querying and managing AI logs through tools like listing logs, retrieving jobs, and performing AI-powered chat queries. Also provides access to gateway security reports and guardrail testing.

crisisnet-mcp

crisisnet-mcp

Minimal MCP server for calculator operations, built with NitroStack template for learning purposes.

TetherIQ

TetherIQ

A zero-config local desktop proxy gateway for AI coding agents, providing model failovers, spend caps, and 1-click MCP tool syncing across multiple client environments.

notebooklm-mcp

notebooklm-mcp

Enables AI assistants to programmatically interact with Google NotebookLM, allowing them to create and manage notebooks, add sources, query content, generate audio/video, and perform research tasks through natural language commands.

Deep Learning with Python MCP Knowledge Base

Deep Learning with Python MCP Knowledge Base

An MCP (Model Context Protocol) server that turns the book Deep Learning with Python (François Chollet) into a searchable knowledge base, so Claude can act as a deep-learning/ML expert grounded in the book's content.