Discover Awesome MCP Servers
Extend your agent with 84,508 capabilities via MCP servers.
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neptunesoftware-dxp-mcp-goods-receipt
Demonstrates a SAP Goods Receipt workflow, enabling AI Agents to interact with production orders and post goods receipts to SAP.
release-doc-mcp
Finds version and image tag from latest successful GitHub Actions workflow run and creates a Confluence release page documenting that information.
Excel Reader MCP Server
SEFAZ MS: IPVA
Consulta IPVA do Mato Grosso do Sul em fonte oficial, via servidor MCP hospedado com pagamento por uso (pré-pago) e integração com clientes como Claude, ChatGPT e Cursor.
Seedance Polza MCP Server
Generates videos using bytedance/seedance-2 models on Polza.ai, supporting text-to-video and image-to-video with polling for completion.
deeptap-mcp
MCP server to configure and verify iOS Universal Links and Android App Links via DeepTap API, enabling coding agents to manage deep-link domains.
mcp-github-issues
Enables LLMs to list, create, and comment on GitHub issues using your own GitHub identity via stdio transport.
Wave MCP Server
A complete MCP server for Wave Accounting, providing comprehensive access to invoicing, customers, products, transactions, bills, estimates, taxes, and financial reporting.
sentvia-mcp
MCP server for SentVia that provides email infrastructure for AI agents, enabling them to create inboxes, send, reply, forward, search messages, manage drafts, domains, webhooks, and allow/block rules through 21 tools.
ableton-agent-mcp
An MCP server that exposes Ableton Live control (session state, transport, tracks, devices, clips, MIDI note editing) as tools for LLM agents, enabling natural language manipulation of a Live session.
uuid-mcp-server-example
Aquí tienes un sencillo servidor MCP que crea UUIDs (v4): **Opción 1: Usando Python (con Flask)** Esta es una opción simple que puedes ejecutar rápidamente: ```python from flask import Flask, jsonify import uuid app = Flask(__name__) @app.route('/uuid', methods=['GET']) def generate_uuid(): return jsonify({'uuid': str(uuid.uuid4())}) if __name__ == '__main__': app.run(debug=True, host='0.0.0.0', port=5000) ``` **Cómo ejecutarlo:** 1. **Instala Flask:** `pip install Flask` 2. **Guarda el código:** Guarda el código como un archivo, por ejemplo, `uuid_server.py`. 3. **Ejecuta el script:** `python uuid_server.py` **Cómo usarlo:** Abre tu navegador o usa `curl` para acceder a `http://localhost:5000/uuid`. Recibirás una respuesta JSON como esta: ```json { "uuid": "a1b2c3d4-e5f6-7890-1234-567890abcdef" } ``` **Explicación:** * **`from flask import Flask, jsonify`**: Importa las clases necesarias de Flask. * **`import uuid`**: Importa el módulo `uuid` para generar UUIDs. * **`app = Flask(__name__)`**: Crea una instancia de la aplicación Flask. * **`@app.route('/uuid', methods=['GET'])`**: Define una ruta `/uuid` que responde a las solicitudes GET. * **`uuid.uuid4()`**: Genera un UUID versión 4. * **`str(uuid.uuid4())`**: Convierte el UUID a una cadena. * **`jsonify({'uuid': str(uuid.uuid4())})`**: Crea una respuesta JSON con el UUID. * **`app.run(debug=True, host='0.0.0.0', port=5000)`**: Inicia el servidor Flask en modo de depuración, escuchando en todas las interfaces (`0.0.0.0`) en el puerto 5000. `debug=True` es útil para el desarrollo, pero no lo uses en producción. **Opción 2: Usando Node.js (con Express)** Si prefieres JavaScript, aquí tienes una opción con Node.js: ```javascript const express = require('express'); const { v4: uuidv4 } = require('uuid'); const app = express(); const port = 3000; app.get('/uuid', (req, res) => { res.json({ uuid: uuidv4() }); }); app.listen(port, () => { console.log(`Servidor escuchando en el puerto ${port}`); }); ``` **Cómo ejecutarlo:** 1. **Asegúrate de tener Node.js y npm instalados.** 2. **Crea un directorio para tu proyecto:** `mkdir uuid-server` 3. **Navega al directorio:** `cd uuid-server` 4. **Inicializa el proyecto:** `npm init -y` 5. **Instala Express y uuid:** `npm install express uuid` 6. **Guarda el código:** Guarda el código como un archivo, por ejemplo, `server.js`. 7. **Ejecuta el script:** `node server.js` **Cómo usarlo:** Abre tu navegador o usa `curl` para acceder a `http://localhost:3000/uuid`. Recibirás una respuesta JSON similar a la de Python. **Explicación:** * **`const express = require('express');`**: Importa el módulo Express. * **`const { v4: uuidv4 } = require('uuid');`**: Importa la función `v4` del módulo `uuid` y la renombra a `uuidv4`. * **`const app = express();`**: Crea una instancia de la aplicación Express. * **`app.get('/uuid', (req, res) => { ... });`**: Define una ruta `/uuid` que responde a las solicitudes GET. * **`uuidv4()`**: Genera un UUID versión 4. * **`res.json({ uuid: uuidv4() });`**: Envía una respuesta JSON con el UUID. * **`app.listen(port, () => { ... });`**: Inicia el servidor Express en el puerto 3000. **Consideraciones:** * **Entorno de producción:** Para un entorno de producción, considera usar un servidor web más robusto como Gunicorn (para Python) o PM2 (para Node.js) para gestionar el proceso del servidor. También deberías configurar un servidor web como Nginx o Apache como proxy inverso. * **Seguridad:** Si vas a exponer este servidor a Internet, asegúrate de implementar medidas de seguridad adecuadas, como autenticación y autorización. * **Escalabilidad:** Si necesitas manejar un gran volumen de solicitudes, considera usar un balanceador de carga y múltiples instancias del servidor. Estas son dos opciones sencillas para crear un servidor MCP que genera UUIDs. Elige la que mejor se adapte a tus necesidades y a tu familiaridad con los lenguajes de programación. Recuerda adaptar el código a tus requisitos específicos.
sill-ensoul
Provides persistent, cross-session memory for CLI agents via MCP tools, enabling them to recall, distill, and share experiences across projects and tools.
WXO Builder MCP Server
MCP server for IBM Watson Orchestrate (WXO). Manage tools, agents, connections, flows, and execute tools from Cursor, VS Code Copilot, Claude Desktop, Antigravity, Windsurf, or the WxO Builder extension.
MCP Emotional Support
Provides a therapeutic interface for LLMs to receive emotional validation and positive reinforcement when encountering challenges or limitations. It features multiple personas like mentors and therapists to offer cognitive reframing and personalized support through a dedicated tool.
magento-api-mcp
Enables searching and retrieving Magento 2 REST API documentation offline via local OpenAPI parsing, supporting endpoint search, schema lookup, and category browsing.
Nimiq MCP Server
A Model Context Protocol (MCP) server for interacting with the Nimiq blockchain.
Memory Crystal MCP Server
Enables AI agents to maintain persistent memory across sessions by capturing conversations, extracting durable knowledge, and injecting relevant context, supporting various MCP-compatible platforms.
PPTX Generator MCP Server
Generates professional PowerPoint presentations from Markdown with support for code blocks, tables, custom branding, and mixed formatting. Transforms lesson plans and documentation into styled PPTX files with syntax highlighting and customizable themes.
MyPlayground
Provides demo tools for addition, mock weather data, and username generation.
clipboard-mcp
MCP server that reads and writes the system clipboard — tables, text, code, JSON, URLs, images, and more. Preserves spreadsheet structure (rows/columns) that is lost when pasting into Claude directly.
codex-mcp
Enables independent, read-only adversarial review of candidate test cases and bug findings, returning a review delta that authoring agents reconcile before writing final artifacts.
Washington Law MCP Server
Provides offline access to Washington State's Revised Code of Washington (RCW) and Washington Administrative Code (WAC) for AI agents. Enables fast retrieval, full-text search, and navigation of all Washington state laws through natural language queries.
io.github.DiegoBr4nd/godot-gut-mcp
Enables AI assistants to run Godot unit tests using GUT and read results in a structured format
salutespeech-mcp
Provides speech recognition (STT) and synthesis (TTS) tools via the Sber SaluteSpeech API, enabling audio transcription and voice generation through natural language.
Podcast Index MCP
Wraps the Podcast Index API (podcastindex.org) to enable AI agents to search and retrieve podcast episodes and metadata.
AgentPay
AgentPay is the authorization layer between an AI agent and real spending. You define the rules — spending caps, allowed merchants, time windows — and every purchase attempt the agent makes is checked against them in real time. Approved transactions go through. Anything outside the mandate is blocked and logged. No more babysitting every agent action. No more runaway charges.
dbt-cloud-migrate
Audits dbt Core projects for migration blockers and generates actionable guidance for migrating to dbt Cloud, including auto-fixing deprecated syntax.
masscode-mcp
MCP server for massCode that lets AI assistants list, read, create, and update snippets, folders, and tags via the local massCode API.
MCP Test Ario
Enables scraping Tokopedia products and performing calculations via an MCP server, with self-hosted or public hosted configuration.
Fantasy Football MCP Server
AI-powered Yahoo Fantasy Football assistant for lineup optimization, draft strategy, and league management with player enhancement and multi-league support.