Explore our complete collection of MCP servers to connect AI to your favorite tools.
Enables querying of live Azure Table data from Claude Desktop using CData JDBC drivers through a Model Context Protocol (MCP) interface.
Provides weather data using the Open-Meteo API, enabling AI assistants to retrieve current conditions and forecasts globally.
Facilitates interaction with Jenkins CI/CD servers for managing jobs, builds, and reports.
Provides a comprehensive Model Context Protocol implementation for the Swagger Petstore API, including both server and client systems for seamless agent integration.
Manages structured metadata fields, rules, and associated data to enhance asset organization and searchability.
Exposes developer productivity tools via an MCP server, offering web search, content extraction, and code analysis capabilities to AI agents and clients.
Builds and demonstrates an MCP (Model Context Protocol) server in Python, integrating weather alerts and conversational agents.
Delivers current weather information for specified locations via a Model Context Protocol server.
Develop and test custom tools for the Model Context Protocol (MCP).
Provides a production-ready Model Context Protocol server implementing a three-tiered memory architecture for vertical agents.
Provides secure, read-only access to MySQL databases for AI assistants via the Model Context Protocol.
Orchestrates ComfyUI workflows by discovering templates, validating assets, and submitting prompts via the Model Context Protocol.
Unifies multiple backend MCP servers into a single interface, simplifying client interaction and routing requests transparently.
Simplifies PostgreSQL database interactions for large language models (LLMs) and AI agents via a secure Model Context Protocol (MCP) server, enabling efficient access to schemas, tables, and query execution.
Facilitates opening files in Windows applications, including Microsoft Edge, via a Model Context Protocol server.
Enables dynamic tool loading and execution for MCP servers using Starlark scripting.
Enables large language models to automate web browsers for various online interactions and data collection tasks.
Compress OpenAPI specifications, generate type-safe API clients, and enable AI exploration of your APIs.
Empowers AI assistants with secure, direct filesystem access to Obsidian vaults for comprehensive note management and analysis.
Provides a Model Context Protocol server for Zettelkasten note management, enabling comprehensive search, creation, and link analysis of notes.
Experiment with AI agent architectures, LLM integrations, and API routing using a modular Python playground.
Provides a comprehensive suite of mathematical operations as tools, enabling AI assistants to perform accurate and reliable calculations.
Integrates Rundeck with Generative AI applications to enhance runbook automation and job scheduling capabilities.
Empowers AI agents with methodology-driven revenue intelligence, offering RFM analysis, 14.5-point ICP qualification, and pipeline health scoring integrated with HubSpot.
Empower AI agents to generate high-quality design assets, including images with transparent backgrounds, using Google's Gemini models via an MCP server.
Integrates global economic indicators from the World Bank with child welfare metrics from UNICEF into a comprehensive dataset.
Integrates with the Gmail API, providing 19 tools for comprehensive email management, label handling, and filter configuration through the Model Context Protocol.
Captures and compresses novel engineering surprises into reusable knowledge foundations for LLM-native decision tracking and learning.
Enhances Claude Code prompt quality by preventing vague instructions, leveraging session history for context, and verifying code changes.
Automatically manages development and testing environments by monitoring coding tasks and switching containerized setups to match.
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