"Cargo Doc" matching MCP servers:

Enables progressive exploration of Swagger/OpenAPI API documentation. Supports loading multiple specs, browsing endpoints and schemas, and searching across documentation.

Provides AI assistants with intelligent access to project documentation and API references through smart search, contextual rules, and Docset integration. Enables AI to understand project-specific conventions, patterns, and official framework documentation without token limits.

A universal MCP server for document processing, conversion, and automation. Handle PDF, DOCX, HTML, Markdown, and more through a unified API and toolset.

An MCP server for the Delovye Linii logistics API, enabling cargo delivery cost calculation, order creation, tracking, and directory lookups for cities and terminals.

AI-native coding memory — lore/doc that AI agents read and write directly, via MCP

Word document reading and writing MCP implemented in Node.js

MCP server for hybrid documentation search (keyword + vector) and RAG chat, enabling natural language queries with cited answers from indexed repositories.

Turns any folder of PDFs, markdown, and text files into a local, queryable knowledge base exposed as an MCP server. Enables MCP-compatible agents to semantically search indexed documents, retrieve relevant passages with source and relevance scores, list or reindex documents, and inspect cache and token usage — instead of reading whole files into context.

Enables Alexa+ to answer conversational weather queries by retrieving current conditions, forecasts, alerts, and historical data from Open-Meteo, NWS, and simulated IoT sensors stored in SQLite.

Enables local, on-device legal document analysis including clause extraction, risk flagging, compliance checking, and clause-level version comparison without sending documents externally.

A document-based MCP server that supports keyword searching and content retrieval from official website documentation.

Enables extraction of structured data from documents like invoices, receipts, and bank statements using local Vision AI (Ollama) or cloud providers (Gemini), with data stored in a local SQLite database.

Enables semantic search and AI-powered Q&A over ingested GitHub documentation repositories via MCP tools.

Local documentation search server for AI models using hybrid retrieval (phrase, keyword, vector). Provides MCP tools to search and fetch documentation from bundled or custom doc sets without any external API keys.

An MCP server that provides intelligent access to CRC/OpenShift Local documentation by fetching, caching, and searching official docs.

Turns Claude Code session work into professional design docs with a slash command, no copy-pasting or signup needed.

Enables AI agents to extract structured data from PDFs with confidence scores and provenance, and to search, review, and correct documents via MCP tools, resources, and prompts.

A Model Context Protocol server for ingesting, chunking and semantically searching documentation files, with support for markdown, Python, OpenAPI, HTML files and URLs.

Converts web-based documentation into markdown format using jina.ai's conversion service, allowing users to scrape documentation from any URL and save it as markdown files.

A Model Context Protocol server that provides AI coding agents with real, live, source-cited documentation for npm, PyPI, and Cargo packages, including READMEs, metadata, vulnerability checks, and package search.