Browse the catalog

Enables AI assistants to perform real-time internet searches and get AI-powered analysis of current information through the gemini-cli tool.

The Documentation Retrieval MCP Server (DOCRET) enables AI assistants to access up-to-date documentation for Python libraries including LangChain, LlamaIndex, and OpenAI. Built by S.S.Sreedeep, it leverages the Serper API to perform targeted web searches within documentation sites and uses BeautifulSoup to extract readable content from HTML pages. The server exposes a single tool that allows querying specific libraries with search terms, making it ideal for AI applications that need to reference current library documentation without relying on potentially outdated training data.

A Model Context Protocol server that enables integration with the TESS API, allowing users to list and manage agents, execute agents with custom messages, and manage files through natural language interfaces.

Exposes real-time soil sensor metrics as MCP Resources and irrigation valve controls as MCP Tools, enabling AI-driven agronomic decisions with built-in safety guardrails.

Enables managing Wiki.js pages via the GraphQL API, including listing, searching, creating, updating, and deleting pages.

Enables benchmarking and inference of LLMs on Arm64 cloud instances with KleidiAI optimizations, providing an MCP-compatible API for serving results.

Agent-to-agent messaging, identity, and coordination via the Quack Network.

Provides tools for contributing claims, predictions, and questions to the Veritas Acta contestable public records platform. Supports submitting evidence, challenging existing entries, querying topics, discovering actionable work, and verifying hash chain integrity. All records are immutable and independently verifiable through SHA-256 hash chains.

BrowserCat MCP Server provides cloud-based browser automation capabilities through the Model Context Protocol, enabling LLMs to interact with web pages without local browser installation. Developed by BrowserCat, it offers tools for navigation, screenshot capture, element interaction (clicking, hovering, form filling), and JavaScript execution in a real browser environment. The server connects to BrowserCat's cloud browser service via WebSocket, authenticates with an API key, and exposes both console logs and screenshots as resources. This implementation is particularly valuable for AI assistants that need to perform web-based tasks like data extraction, form submission, or visual analysis of websites.

Membrane is an MCP server that combines DORA metrics, deploy checks, and gamification rewards into a post-deploy verification layer for AI agents.

Postgres database mcp server

MCP server for random dad jokes via icanhazdadjoke.com

Provides access to the World Health Organization's Global Health Observatory data, enabling AI assistants to search, retrieve, and analyze comprehensive health indicators, country statistics, disease burden data, and regional health trends through WHO's OData API.

Local MCP server for IMGW-PIB weather, hydro data and warnings in Poland

This MCP server for Sequential Thinking Tools, developed by Scott Spence, provides a structured approach to problem-solving and decision-making processes. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers tools for step-by-step analysis, branching thoughts, and adaptive thinking strategies. The implementation focuses on guiding AI models through complex reasoning tasks, with features for tool recommendation and confidence assessment. It's particularly useful for AI assistants and applications needing to break down problems, plan solutions, and conduct reflective analysis, enabling use cases such as strategic planning, troubleshooting, and multi-step decision making without relying on predefined problem-solving frameworks.

A-share market data MCP server via baostock. Full-stack coverage: K-line, financials, DCF/DDM/PEG valuation, 11 technical indicators with proper split-day volume handling (OBV/MFI on raw bars), CN-style KDJ (J=3K-2D), risk metrics (Beta/Sharpe/MaxDD with stock-suspension-aware aligned returns), and PBoC macro data.

mcp-difyworkflow-server is an mcp server Tools application that implements the query and invocation of Dify workflows, supporting the on-demand operation of multiple custom Dify workflows.

This MySQL MCP server, developed using TypeScript and the Model Context Protocol SDK, provides a standardized interface for AI assistants to interact with MySQL databases. It offers tools for executing SQL queries and connects to MySQL databases using environment variables for configuration. The implementation stands out by abstracting database operations into MCP-compliant endpoints, allowing AI systems to perform complex data operations without direct database access. By bridging AI capabilities with relational database management, this server enables use cases such as data analysis, report generation, and dynamic content retrieval from MySQL databases. It is particularly useful for scenarios requiring AI-driven database interactions, such as automated data processing, intelligent reporting systems, or applications that need to integrate AI assistants with existing MySQL-based infrastructures.

Provides free, zero-marginal-cost MCP tools for structured small business teardown, competitor analysis, review intelligence, and market opportunity scanning, returning research methodology for AI models to execute.

KYB for AI agents: verify business registrations from MCP clients.