Explora nuestra colección completa de servidores MCP para conectar la IA con tus herramientas favoritas.
Enables AI assistants to interact with and access data from Strateegia projects.
Enables AI clients to query live Dropbox data using natural language, leveraging CData JDBC Drivers.
Leverages Apache Tika to extract content and metadata from various local file formats (PDF, DOCX, TXT) into HTML or plain text.
Enables interaction with ClickHouse databases using the MCP protocol.
Provides serverless browser access for AI agents and applications, enabling real-time web data retrieval and interaction.
Enables a human-in-the-loop workflow for AI-assisted development tools by providing a server to run commands, view outputs, and provide textual feedback.
Demonstrates creating MCP clients and servers in Python and TypeScript, integrating with local LLMs.
Transforms PDF documents into Markdown format utilizing a distributed multi-server architecture.
Enables Large Language Models (LLMs) to query live FHIR data by exposing it as relational SQL models through a simple Model Context Protocol (MCP) interface.
Facilitates the creation of Model Context Protocol (MCP) servers for seamless integration with custom REST APIs, offering robust authentication and error handling.
Provides an auto-generated server for interacting with the Google Access Context Manager API via Multi-Agent Conversation Protocol (MCP).
Dynamically routes AI tasks like chat, summarization, and sentiment analysis to appropriate models using intelligent, LLM-powered routing within a lightweight, production-ready FastAPI backend.
Generate various visualizations including charts, diagrams, barcodes, and QR codes using QuickChart.io APIs.
Provides secure, compact access to PostgreSQL databases, SSH command execution, and HTTP API interactions for AI agents.
Provides a Multi-Agent Conversation Protocol server to interact with the Google Authorized Buyers Marketplace API.
Analyzes unit test setups, checks coverage, and generates comprehensive test reports for JavaScript/TypeScript projects.
Runs a JavaScript application using the Bun runtime environment.
Enables interaction with the Sentry API to retrieve issue and event details.
Provides advanced date, time, timezone, and calendar operations for AI agents and applications.
Provides a Multi-Agent Conversation Protocol (MCP) server for interacting with the Google Cloud Video Intelligence API.
Provides Yr weather data as context for Large Language Model (LLM) tools.
Fetches logs from Azure Log Analytics Workspace using order numbers and exposes them via MCP tools.
Generates high-quality videos from text prompts or images using Google's Veo 3 and Gemini APIs, featuring realistic motion and audio.
Integrates Qdrant, Neo4j, and Crawl4AI to provide intelligent AI coordination through vector and graph intelligence.
Enables AI assistants to create, buy, and sell tokens on the Pump.fun platform on Solana.
Provides robust browser automation capabilities, enabling large language models to interact with web pages, generate code, and extract data.
Executes PySpark code via a Model Context Protocol (MCP) server.
Provides a simple Model Context Protocol (MCP) server for basic arithmetic operations like addition, subtraction, multiplication, and division.
Transforms enterprise document search into natural AI conversations by integrating Azure AI Search with Claude Desktop using LangGraph workflows and RAG.
Serves the KumpeApps OpenAPI specification as a Multi-Agent Conversation Protocol (MCP) server.
Scroll for more results...