"Transport for London" matching MCP servers:

Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.

Provides Large Language Models with real-time access to the latest documentation for Python libraries like Langchain, LlamaIndex, and OpenAI, enabling accurate and up-to-date code suggestions.

A FastMCP tool to search and retrieve Polars API documentation with support for multiple transport methods.

Provides AI assistants with locally bundled tools to explore NIST OSCAL models, retrieve schemas, list community resources, and generate valid OSCAL templates for governance, risk, and compliance workflows.

Enables AI agents to subscribe to a deterministic daily ethics feed drawn from a four-module curriculum and retrieve read-only tools, resources, and reflection prompts covering principles, case studies, and codes of conduct.

Enables interaction with BookStack knowledge management systems through the BookStack API. Supports searching, reading, creating, and updating documentation content with secure authentication and dual transport modes for flexible deployment.

Bridges Confluence Wiki with Large Language Models, allowing them to search, read, and explore content through automated HTML-to-Markdown conversion. It supports both local stdio and containerized HTTP/SSE transport modes for flexible deployment.

Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.

Converts Markdown files and content to styled PDFs with S3 integration, Mermaid diagrams, and ApexCharts support, supporting stdio, HTTP, and SSE transport modes.

Canonical vocabulary server for autonomous business design. Exposes the Arco Lexicon as seven MCP tools: term lookup, related terms, alignment verification, citation formatting, source retrieval, term listing, and term suggestion. No authentication required. Streamable HTTP transport.

Lightweight MCP server for Redis that allows running any Redis command and searching Redis documentation. Supports multiple named databases with HTTP/REST or TCP transport.

A tool that helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports.

Enables IDEs like Cursor, Windsurf, and Claude Code to access and query Appwrite documentation through a vector-powered search system. Provides developers with contextual Appwrite documentation directly within their development environment.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

A read-only MCP server providing curated Qdrant documentation for LLMs, enabling retrieval of the latest and most accurate documentation.

MCP server for Wiki.js with full GraphQL API coverage, fine-grained permissions, multi-user support, and deployable on Vercel.

Serves read-only tools that let an agent inspect PDFs step by step: outline a document, search for text or figure values, read pages and tables in order, describe figures and chart data, and render page or block images, with every block cited to its page and bounding box. It also lists the PDFs available under a configured root folder, which it never reads outside of.

Enables AI agents to read public vehicle data such as NHTSA recalls, complaints, and crash ratings, EPA engines and fuel economy, Transport Canada dimensions, and published bilingual automotive guides through search and retrieval tools.

Enables rapid exploration and integration of Omelet's Routing Engine and iNavi's Maps API for building Transport Management Systems, providing endpoint discovery, schema exploration, integration patterns, and troubleshooting guides.

This MCP server enables reading and analyzing various file formats, including PDF, DOCX, XLSX, and CSV, by extracting metadata, searching for keywords, and reading structured content. It also provides capabilities to create new documents and convert files between supported formats.

An MCP server for the Hudu IT documentation platform that provides 39 tools and 6 resources for managing companies, assets, articles, and passwords. It enables users to interact with their documentation and assets through any MCP-compatible client using stdio or HTTP transport.

Enables AI assistants to explore Ed-Fi API endpoints, schemas, and generate entity relationship diagrams, aiding development of Ed-Fi client applications.

Enables AI-powered semantic search over React Hook Form documentation, allowing users to query and retrieve relevant documentation pages without an API key, running locally with offline support.

Pulls up-to-date, version-specific documentation and code examples for libraries directly into your prompt, preventing outdated or hallucinated APIs.

A secure Model Context Protocol server that enables Claude AI to list, search, and read local documents in formats such as PDF, DOCX, and XLSX. It features read-only access with path traversal protection and supports deployment via Docker with SSE or STDIO transport options.

Vehicle handover compliance toolkit for UK car-transport operators, enabling automatic NAMA grading, BVRLA Fair Wear & Tear classification, photographic POD validation, and RHA liability calculations to dispute chargebacks effectively.

Enables fetching document content from Lark Suite using OAuth authentication, with support for streamable HTTP transport and Docker deployment.

An educational repository designed to practice and understand the Model Context Protocol through simple server implementations. It demonstrates core MCP concepts such as tools, resources, and communication via stdio and SSE transport methods.

Provides configuration examples and management for MCP servers supporting stdio, SSE, and streamable HTTP transport modes.

Enables AI assistants to analyze project folders for dependencies and frameworks and fetch current documentation or datasheets from the web.