Discover Awesome MCP Servers

screener-mcp

Exposes Screener.in data for Indian stocks (NSE/BSE) — fundamentals, financial statements, peers, and price/EPS time-series — as tools any MCP client can call.

GitLab MCP Server

Connects AI assistants to GitLab projects, enabling natural language queries for merge requests, code reviews, test results, pipelines, and discussions. Supports viewing MR details, responding to comments, and analyzing CI/CD job logs.

xhs-read-mcp

A read-only MCP server for Xiaohongshu that enables searching notes, fetching details and comments, with QR code login support.

mcp-crew

Agent Personas for Claude. 10 tools, 8 personas, 3 workflows. Zero API cost.

BNB Chain MCP Server

Enables AI assistants to interact with BNB Chain, including wallet creation, balance queries, token transfers, swaps via PancakeSwap V3, and price data from Binance Oracle.

logodev-mcp

Enables looking up company logos and brand data via the logo.dev API.

io.github.sidduHERE/agentpool

AgentPool is a local MCP server that monitors live usage limits of coding-agent subscriptions and allows you to offload work to providers with remaining capacity. It exposes provider, model, and session state, enabling informed manual or agent-driven task delegation.

GitHub MCP Server

Enables comprehensive GitHub workflow automation including Actions monitoring, PR management, code search, file operations, and repository management through a code-first architecture that reduces token usage by 98%.

GPT-MCP Bridge

Enables Claude and other MCP-compatible tools to communicate with OpenAI's GPT models (GPT-5, GPT-5-mini, o3) with conversation history and session management. Features advanced controls like reasoning effort settings, token tracking, and parallel conversation sessions for efficient AI workflows.

sovereignty-scan-mcp

Vendor sovereignty scanner for EU AI Act compliance. Scans provider stacks for CLOUD Act exposure, data residency, and GDPR DPA status across 55 providers, then suggests EU-native alternatives. Free, no account required.

contextforge-mcp

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

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.

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

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

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

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

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

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

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.

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

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

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

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

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

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

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.

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.

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

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!