Explore our complete collection of MCP servers to connect AI to your favorite tools.
Analyze webpage performance using Google PageSpeed Insights through a Model Context Protocol (MCP) server.
Rolls dice using a server implementation.
Explores microcontent platforms (MCPs) for the Abell ecosystem.
Executes cross-chain token swaps using 1inch Fusion+ and Model Context Protocol (MCP).
Transforms SQL databases into interactive dashboards using natural language queries powered by AI.
Accelerates the development of Model Context Protocol (MCP) servers with a production-ready Python template.
Serves as a Model Context Protocol (MCP) server for POEditor translation management, enhancing workflows with advanced automation scripts and optimization tools.
Aggregates multiple search engines, providing intelligent failover, a unified API, and LLM-optimized content processing for high-availability search.
Provides AI assistants and applications seamless access to rigorous particle physics data from the Particle Data Group (PDG).
Integrates the Passgage Public API with AI assistants, offering 130+ tools for comprehensive workforce management.
Exposes a simple FastAPI CRUD API as a set of interoperable tools using FastMCP, complete with Docker containerization and client integration instructions.
Provides a lightweight, local-first server for semantic search, file chunking, and embeddings with a web UI and API.
Enables AI models to interact with Pingera monitoring data through a Model Context Protocol server.
Enables AI assistants to extract detailed documentation from Mendix Studio Pro modules using the Model Context Protocol.
Facilitates multi-server control over serial port communications using MCP, MQTT, and a graphical interface.
Interact with Marinade Finance on the Solana network, enabling advanced operations for liquid staking and protocol insights.
Exposes Generect Live API tools for B2B lead generation and company search via a Model Context Protocol (MCP) server.
Secures code across the entire Software Development Life Cycle (SDLC) using a combination of static analysis, dynamic analysis, and agentic AI to deliver accurate security insights.
Automates Windows desktop interactions using UI Automation for efficient control and data extraction.
Integrate with Google Sheets to read, write, and format spreadsheet data efficiently.
Deploys the MiniMind Large Language Model as an all-in-one Docker solution, offering a web UI, an OpenAI-compatible API, and Model Context Protocol (MCP) support.
Integrates AI assistants with ProductPlan to enable natural language interaction with roadmaps, OKRs, and discovery features.
Provides secure database access for AI assistants to PostgreSQL, MySQL, and SQLite databases.
Enables AI assistants to interact with the Resend API for comprehensive email and domain management through the Model Context Protocol.
Leverages advanced AI services to elevate productivity and streamline cloud operations.
Facilitates conversational FHIR testing by integrating Touchstone test execution with AI coding agents.
Indexes codebases with tree-sitter, enabling AI agents to retrieve exact symbols and cut code-reading token costs by up to 99%.
Generates retro 8-bit GIF animations from various image inputs using advanced image processing and color quantization techniques.
Exposes Salesforce Marketing Cloud capabilities as tools, allowing AI assistants to manage contacts, data extensions, journeys, and transactional messaging.
Establishes a universal agentic knowledge base for AI coding tools, leveraging an Obsidian vault for shared memory.
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