"View React Documentation" matching MCP servers:

Versioned library documentation retrieval MCP server for coding agents, providing accurate, versioned, and traceable API documentation snippets with scoring, caching, and offline support.

Provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.

On-device documentation search for agents

Enables full-text search and paginated retrieval of indexed documentation (PDFs, Markdown, text) through MCP tools, with filtering by category and file.

Provides LLMs with up-to-date, version-specific documentation and code examples directly from library sources, eliminating outdated training data and hallucinated APIs by fetching current documentation at prompt time.

An MCP server that serves documentation and enables AI-powered search, Q\&A, and document analysis for developer tools and guides.

heroicons-mcp is a Model Context Protocol (MCP) server that exposes Heroicons. It allows LLMs and agentic applications to search, list, and generate usage examples of icons in React applications.

Enables LLMs to scrape, index, and search modern and legacy Salesforce documentation by piercing complex Shadow DOM and iframe structures. It supports hierarchical spidering of entire guides and local RAG capabilities using a SQLite database for offline querying.

Enables retrieval and cleaning of official documentation content for popular AI/Python libraries (uv, langchain, openai, llama-index) through web scraping and LLM-powered content extraction. Uses Serper API for search and Groq API to clean HTML into readable text with source attribution.

Enables MCP clients to retrieve authoritative AI Square documentation, API references, SDK examples, guides, and troubleshooting information through citation-safe hybrid search and static resources.

Connects documentation, GA4 search analytics, Jenkins CI pipeline, and RAGAS-style evaluation to Claude for content gap analysis and documentation improvements.

Enables integration of Perplexity's AI API with LLMs, delivering advanced chat completion by utilizing specialized prompt templates for tasks like technical documentation, code review, and API documentation.

Unified MCP server that orchestrates 5D Database and Documentation System plugins, providing AI agents with centralized tools for database queries, semantic search, documentation validation, and workflow coordination.

Provides real-time documentation retrieval for coding agents, answering implementation questions with compact, cited context assembled from developer documentation and live web search via a single MCP context tool.

A server that connects Claude to your documentation via Inkeep's API, enabling AI-powered interactions with your documentation content.

An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context

Fetches and parses documentation from llms.txt files to enable AI assistants to access and query documentation dynamically.

Enables AI assistants to perform semantic, hybrid, and filtered search on indexed local documentation with RAG capabilities.

Aggregates documentation from multiple sources (llms.txt format or web scraping) and provides semantic search capabilities using vector embeddings and hybrid search for each documentation source.

Enables MCP host applications to retrieve and process structured documentation from user-defined llms.txt files. It provides tools to fetch specific URLs and audit the documentation context returned to the LLM.