Explore our complete collection of MCP servers to connect AI to your favorite tools.
Manages Jenkins builds, jobs, artifacts, and queue operations via the Model Context Protocol (MCP) interface.
Facilitates agentic RAG for JIRA case management by integrating Strands Agents with Amazon Q Business and Perplexity Ask.
Exposes Postman API requests as tools through a Model Context Protocol (MCP) server, enabling integration with AI agents and MCP clients.
Provides AI agents with tools to create, validate, and export UML system models and executable System Runtime applications.
Extracts and transforms web content into various formats, including raw text, rendered HTML, and Markdown.
Provides comprehensive access to the Terraform public registry, enabling AI assistants to search and retrieve information about providers, modules, and documentation.
Integrates Atlassian Bitbucket Server/Data Center with AI systems through a Model Context Protocol (MCP) server.
Translates natural language commands into valid Podman CLI commands for container management.
Extracts PDF annotations, highlights, and text, enabling AI clients to safely interact with document content.
Standardizes how applications provide context to Large Language Models using the Model Context Protocol.
Provides a server implementation based on the Spinitron API specification.
Enables AI assistants to interact with Apache Airflow workflows, monitor DAG runs, and programmatically manage tasks.
Kickstart development of an MCP server using Express with Server-Sent Events (SSE) in TypeScript.
Provides a Multi-Agent Conversation Protocol (MCP) server automatically generated from the Vimeo OpenAPI specification.
Delivers comprehensive global weather data, including forecasts, historical records, and real-time alerts, to AI assistants without requiring API keys.
Provides a sample Model Context Protocol server offering tools to fetch public API data like quotes, jokes, and advice.
Provides programmatic access to Valentin Gonzalez Loureiro's curriculum vitae data through a Model Context Protocol server.
Enables Claude AI to create and manage WordPress blog posts through a Model Context Protocol (MCP) server.
Enhances Power BI workflows by integrating AI agents and analytics for streamlined data visualization and business intelligence.
Serves remote Markdown files as accessible MCP resources.
Generates a Multi-Agent Conversation Protocol (MCP) server from an OpenAPI specification.
Facilitates the creation of new software projects by bridging large language models with the Forge project scaffolding API.
Generates a Python-based server for educational course management from JSON-defined course content.
Enables control of Panasonic MirAIe air conditioning devices through a Model Context Protocol (MCP) server, integrating with conversational AI.
Provides comprehensive control over Windows desktop applications, enabling AI agents to interact with the GUI, manage processes, and extract information.
Provides a powerful Retrieval-Augmented Generation (RAG) server with dynamic support for various embedding providers via the Model Context Protocol (MCP).
Access comprehensive IP address details, ASN, company, privacy, and WHOIS information using the IPInfo API.
Provides programmatic access to the Internet Archive's digitized content, enabling full-text search and OCR text retrieval.
Provides a foundational Model Context Protocol (MCP) server implementation with boilerplate code for user and project management functionalities.
Implements a Model Context Protocol server enabling extensible tools for deepdive deployment.
Scroll for more results...