Extracts and structures git diff data, providing context and analysis instructions for AI models via the Model Context Protocol in Lucidity MCP.
Apache 2.0
744,273 tools. Updated 2026-11-04 22:21
"Markdown MCP (Model Context Protocol) Server" matching MCP tools:
- Search the AllMCPs directory for Model Context Protocol servers by keyword or category, and filter results by transport or verified status to find compatible servers.MIT
- Access comprehensive guides and documentation for Model Context Protocol development, covering topics like getting started, building servers/clients, core concepts, and best practices.MIT
- Retrieve Model Context Protocol documentation on topics like overview, resources, tools, and setup to build MCP servers correctly.MIT
- Scaffold a complete Model Context Protocol (MCP) server including tools, resources, prompts, server.py, pyproject, smoke-test client, and README from a plain-English request.MIT
- Search markdown research protocol files and return relevant excerpts.-
Matching MCP Servers
- AlicenseNot gradedqualityDmaintenanceMCP server enabling real-time weather queries via Tavily API and internet usage data by country via MongoDB.Apache 2.0
- AlicenseNot gradedqualityDmaintenanceA production-ready MCP server template that connects LLMs and AI agents to external data, tools, and services with built-in OAuth 2.1 authentication, Redis-backed session management, and a modular tools engine.1MIT
Matching MCP Connectors
The MCP SDK had 52.3M npm downloads in the week of 24 Aug, 1.3× the OpenAI SDK and more than.
Markdown utilities MCP.
- Retrieve a complete essay by its slug, returning clean Markdown-like body, metadata, licence context, and canonical URL. Use after listing or searching articles to fetch the full content.MIT
- Exports the AI Context file for a given master, combining network state and CLI commands for language model planning.Apache 2.0
- Convert local files or URLs in 22 formats (PDF, DOCX, PPTX, XLSX, EPUB, RTF) to heading-aware Markdown for RAG ingestion and LLM context.MIT
- Retrieve all mitigations from a threat model, with optional filters by type or status for focused security control review.Apache 2.0
- Read a selected HTML document as bounded Markdown, preview or expand a specific excerpt, and manage returned text length for model context.Apache 2.0
- Checks which local Ollama models are pulled, their size, quantisation, loaded state, and whether they fit in video memory before you choose a model or context length.Apache 2.0
- Converts raw HTML into clean, boilerplate-free Markdown with preserved links and headings for LLM context ingestion; use it to replace cluttered web pages with readable article text.MIT
- Replace one exact plain-text match in a Google Doc with Markdown, or replace all occurrences, while leaving the rest of the document unchanged. Requires approval.Apache 2.0
- Convert webpages into clean, formatted markdown for extracting content from documentation, articles, and web pages. Fetches any webpage and transforms HTML content into readable markdown format.MIT
- Retrieve a specific section from a security finding's body in markdown format. Use to explain POC, summarize impact, or show remediation without loading the entire finding.MIT
- Retrieve the canonical Clipkit documentation you need by topic — authoring cards, UI pattern guides, video archetypes, protocol spec, or brand reference.Apache 2.0
- Transfer an active agent task to a different AI model when the current executor is blocked or cross-model review is needed, passing context and notes so the next model can continue.MIT
- Publish immutable, persistent text artifacts without starting a model. Use source_path for large files so their bodies stay out of the model context.MIT
- Read a stored memory by ID or layer-prefixed path to retrieve its Markdown content, metadata, and supersession links; use search first when the ID is unknown.MIT
- Identify the DeFi protocol behind a contract address, such as an approval spender or transaction counterparty. Provide a chain for one result or omit it to check all supported chains.MIT