"Information about Rust programming language or rust corrosion" matching MCP servers:

Provides access to Rust crate documentation, search, and metadata from docs.rs and crates.io.

Persistent project context in Rust. 8 MCP tools via rmcp SDK — parse, validate, score, compress, discover, and token analysis. Single binary, zero config. IANA-registered format (application/vnd.faf+yaml). One file, every AI platform.

An MCP server that provides AI tools with access to Rust documentation from docs.rs, enabling search for crates, documentation, type information, feature flags, version information, and source code.

Provides up-to-date information for Rust and Slint development by fetching real-time data from GitHub repositories, including package search, UI components, release news, and development resources with automatic caching and refresh capabilities.

A Model Context Protocol (MCP) server for fetching Rust crate documentation from docs.rs using the rustdoc JSON API.

Enables extracting explicitly stated contract metadata, clauses, and obligations from user-supplied contract text without storing or modifying the data.

Provides LLMs with comprehensive knowledge about the V programming language, including documentation access, code examples, standard library reference, and syntax explanations to help users learn and work with V.

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

Enables semantic search and interaction with Fuel Network documentation and Sway Language resources within AI-powered development environments. It provides high-quality technical context using a local vector database to assist with smart contract development and FuelVM queries.

Enables AI assistants to answer questions about Apache Iggy using the project's current guides and Rust API documentation, with search, retrieval, and documentation analysis tools.

A server for managing Rust documentation that enables users to check, build, and search Rust documentation locally through cargo doc commands.

Enables searching and retrieving documentation for the Rust windows crate API through an MCP server.

Enables querying any GitHub, GitLab, or Bitbucket repository and getting AI-generated answers about the codebase, powered by Gemini.

Rust-powered PDF toolkit over MCP: create, read, and analyze PDFs; extract text and entities for RAG; convert to Markdown; split/merge/rotate/reorder pages; manage form fields and annotations; encrypt documents. Runs locally via uvx oxidize-mcp.

A Model Context Protocol server that fetches up-to-date, version-specific documentation and code examples from libraries directly into LLM prompts, helping developers get accurate answers without outdated or hallucinated information.

Gives AI assistants access to current Capacitor documentation, plugin listings, and Ionic blog posts so they can provide accurate answers about Capacitor APIs and CLI usage.

Enables semantic search over ByJG's documentation, letting LLMs answer questions about ByJG libraries and cite the pages where answers were found.

Teaches AI coding agents how to reason correctly about MetaMask Embedded Wallets / Web3Auth architecture, SDK choice, key derivation, auth flows, and common integration pitfalls.

Enables Claude to explore, analyze, and answer questions about any public GitHub codebase by connecting to DeepWiki's AI-powered documentation.

Answers questions about the FedRAMP Consolidated Rules for 2026 using search and retrieval tools on the authoritative source text with citations.