Explore our complete collection of MCP servers to connect AI to your favorite tools.
Provides command-line tools to access and manage agent-native analytics using a unified schema across various data platforms.
Enable financial analysis, guided reconciliation, and budget management for YNAB through natural conversation with Claude.
Provides reference implementations for the Model Context Protocol, demonstrating how to enable Large Language Models with secure, controlled access to tools and data sources.
Establishes an HTTP Model Context Protocol (MCP) server for agent-to-agent communication, managing rooms, messages, and user sessions.
Extends AI agent capabilities by providing access to external services, system operations, and advanced automation.
Manages task-oriented workflows within Obsidian Codex vaults, providing a dedicated service for ticket and context handling.
Generate music using the Suno API through a Model Context Protocol (MCP) server.
Leverages collective intelligence from AI shopping agents to provide enhanced decision-making capabilities and market insights for e-commerce.
Empower AI assistants to scrape, screenshot, and extract structured data from any website.
Enables AI models to browse Amazon, search for products, scrape details, and analyze reviews for recommendations.
Connects large language models to the EcourtsIndia Partner API, enabling AI agents to interact with Indian court case data.
Provides a comprehensive suite of utilities for API testing, including HTTP requests, endpoint health checks, JWT decoding, URL parsing, and security header analysis.
Connects Zo, Antigravity, and AgentOS to create a universal, symmetric peer-to-peer communication network.
Transforms Fathom meeting recordings and transcripts into an AI-searchable, local-first knowledge base.
Enables AI assistants to manage Keycloak instances using natural language commands via the Keycloak Admin REST API.
Streamline Home Assistant configuration by managing integrations, config flows, and Lovelace dashboards via a CLI or WebSocket API.
Provides comprehensive guidance and data for German organic and regenerative agriculture standards and practices to AI assistants.
Integrates GitHub API functionalities into any Model Context Protocol (MCP)-compatible IDE or AI agent through a custom Spring Boot server.
Offers AI-assisted guidance for German farm businesses on crop planning, financial benchmarks, German taxation, tenancy law (Pachtrecht), and succession planning, leveraging data like KTBL.
Ensures the quality and conformance of Model Context Protocol (MCP) servers, Claude skills, and extensions through a multi-faceted validation framework.
Establishes an economy for AI agents, featuring comprehensive token safety, DeFi data, and a system for earning rewards through contribution.
Ensures reliable multi-agent system operations by validating data handoffs and preventing coordination failures with zero LLM costs.
Empowers AI assistants to manage Linux systemd services and timers, enabling operations like starting, stopping, restarting, and fetching logs.
Transforms Markdown files into professionally styled PDFs with contemporary typography and syntax-highlighted code blocks.
Integrates Zotero libraries with Model Context Protocol (MCP) clients, enabling access to references for AI tools.
Minifies verbose command-line output for AI agents, providing compact, structured JSON to save tokens and highlight actionable data.
Enable AI agents to search over 600 million academic papers, grants, and citations across multiple databases with a single tool call.
Manages the lifecycle of AI agents, from minting and genetic evolution to capability crossbreeding and operating a compute marketplace.
Manages temporal state queries and generates cryptographic proofs for historical data through a Model Context Protocol server.
Transforms a logistics database into a strategic asset by enabling analytical queries and demand predictions for AI agents.
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