Browse the catalog

Official MCP server for Leadpipe intent and data APIs.

MCP is an open protocol that standardizes how applications provide context to large language models (LLMs)

AI-powered assistant for the Renderer portfolio framework. Enables users to explore documentation, validate TOML configurations, generate templates, and customize portfolios through natural language.

Provides read-only access to the Cloudera CDP Public Cloud control plane, allowing users to list and describe environments, datahubs, datalakes, DW clusters, virtual warehouses, DE services, ML workspaces, and IAM users via natural language. It uses the installed cdp CLI and supports profiles.

Explore the Philippines’ administrative hierarchy from island groups to barangays. Search places by name, validate official codes, and retrieve parent-child relationships for accurate data and workflows. Power location pickers, address validation, and regional insights with reliable coverage.

Specification only: verifiable evidence for autonomous-agent actions.

Provides access to Poland's railway timetable data through the Koleo API, exposing 14 tools for searching stations, checking departures and arrivals, finding connections between cities, viewing train routes by brand or ID, accessing operating calendars, retrieving seat occupancy statistics, and listing carriers and train brands. Includes optional authentication for real-time timetable access and returns structured JSON responses with human-readable summaries and direct Koleo web links.

This MCP proxy server, developed by JetBrains, enables AI assistants like Claude to interact with JetBrains IDEs. Built with Node.js, it acts as a bridge between Claude Desktop and JetBrains IDE plugins, allowing AI models to access IDE functionality and project data. The implementation stands out by providing deep integration with JetBrains' powerful development environments, supporting multiple concurrent IDE instances. By connecting AI capabilities with professional coding tools, this server enables AI systems to assist in code analysis, refactoring, and development tasks. It is particularly useful for scenarios like code reviews, bug detection, and building AI coding assistants that can understand and contribute to software projects within JetBrains IDEs.

Enables natural-language querying of a mock legacy healthcare database and returns validated FHIR resources (Patient, Observation, Condition).

macOS CLI tool for recording audio (microphone), screen (video/screenshot), and camera (video/photo)

Enables MCP clients to access a configured Google Drive folder over Streamable HTTP, listing files and reading text content with automatic export of Google Docs, Sheets, and Slides.

MCP server for inspecting, querying, and extracting features from PMTiles archives

Enables generating deterministic, cited research findings from caller-supplied source metadata and excerpts via a local-fixture MCP tool, supporting English and Spanish.

Provides natural-language access to ClinicalTrials.gov through 5 tools: searching trials by condition or keyword, retrieving study details, comparing protocols, accessing published results, and locating recruiting sites by geography. Connects to the public ClinicalTrials.gov API v2 without authentication. Published on PyPI as clinicaltrials-mcp, requires Python 3.12+, and runs locally via stdio transport.

Enables querying and retrieving content from Confluence through CQL searches and page content fetching, allowing Claude to seamlessly access information stored in Confluence workspaces.

Give AI agents real phone numbers, messages, and voice calls via MCP.

Enables AI clients to create and manage tasks via a local REST API by converting natural language into HTTP requests through the Model Context Protocol.

OpenAI Image Generation MCP Server provides tools for generating and editing images using OpenAI's gpt-image-1 model through a standardized interface. Built by IncomeStreamSurfer, it implements two main tools: generate_image for creating new images from text prompts, and edit_image for modifying existing images or performing inpainting with masks. The server handles all aspects of the OpenAI API interaction, including proper error handling, image saving to local storage, and filename generation. It's particularly valuable for developers who want to integrate OpenAI's image generation capabilities into AI assistant workflows without managing the complexities of the OpenAI API directly.

Audits a domain to determine if AI agents and crawlers can access and read it, returning a flat row of 42 fields covering llms.txt, robots.txt AI policy, structured data, render mode, and machine-readable endpoint discovery.

Exposes the Telegram Bot API as tools for MCP clients, enabling sending messages, photos, polls, and more via a Telegram bot.