docs.rs▌
by nuskey8
docs.rs — Search Rust crates, fetch READMEs and docs, and explore API items with markdown-converted scraping for fast, p
Integrates with crates.io and docs.rs to search Rust crates, retrieve README content, fetch documentation for specific API items, and search within crate APIs using web scraping converted to markdown format.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Rust developers exploring new crates
- / Learning Rust APIs and documentation
- / Code assistance and library research
capabilities
- / Search for Rust crates by keywords
- / Retrieve README content from crates
- / Fetch documentation for specific API items
- / Search within crate APIs and modules
- / Convert documentation to markdown format
what it does
Searches Rust crates and their documentation on docs.rs, providing README content and API documentation in markdown format.
about
docs.rs is a community-built MCP server published by nuskey8 that provides AI assistants with tools and capabilities via the Model Context Protocol. docs.rs — Search Rust crates, fetch READMEs and docs, and explore API items with markdown-converted scraping for fast, p It is categorized under search web, developer tools. This server exposes 4 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install docs.rs in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport. This server supports remote connections over HTTP, so no local installation is required.
license
MIT
docs.rs is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
docs.rs MCP
An MCP server that enables searching for Rust crates and their documentation from docs.rs.
English | 日本語
Overview
docs.rs MCP is an MCP server that searches the Rust crate documentation site docs.rs. By using this, AI Agents can search for required crates and obtain the latest documentation as needed.
Features
- Tools specialized for searching docs.rs
- Supports multiple use cases, from searching for crates themselves to searching for specific APIs
- LLM-friendly Markdown output
Requirements
- Node.js 18 or newer
- VS Code, Cursor, Claude Desktop or any other MCP client
Setup
Visual Studio Code (VSCode)
Add the following to .vscode/mcp.json:
{
"servers": {
"docs-rs": {
"command": "npx",
"args": [
"@nuskey8/docs-rs-mcp@latest",
"-y"
]
}
}
}
Claude Code
Run the following command:
claude mcp add docs-rs -s project -- npx -y @nuskey8/docs-rs-mcp@latest
Cursor
You can install by pressing the button below:
Or, add a new MCP server that runs the npx @nuskey8/docs-rs-mcp command from Cursor Settings > MCP > Add new MCP Server.
Others
For other tools, please refer to the documentation as needed and add an MCP server that runs the npx @nuskey8/docs-rs-mcp command.
Tools
| Tool | Description |
|---|---|
docs_rs_search_crates | Searches for crates by keyword. |
docs_rs_readme | Retrieves the README/overview of the specified crate. |
docs_rs_get_item | Retrieves documentation for a specific item (module, struct, trait, enum, function, etc.) in a crate. |
docs_rs_search_in_crate | Searches for traits, structs, methods, etc. from the all.html page in a crate. |
License
This library is provided under the MIT License.
FAQ
- What is the docs.rs MCP server?
- docs.rs is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for docs.rs?
- This profile displays 51 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.7★★★★★51 reviews- ★★★★★Chaitanya Patil· Dec 24, 2024
Strong directory entry: docs.rs surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Pratham Ware· Dec 20, 2024
According to our notes, docs.rs benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Kabir Bhatia· Dec 16, 2024
docs.rs reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Kabir Haddad· Dec 8, 2024
docs.rs is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Evelyn Liu· Dec 4, 2024
docs.rs is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Aarav Taylor· Nov 27, 2024
Useful MCP listing: docs.rs is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Yusuf Abebe· Nov 23, 2024
Strong directory entry: docs.rs surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Piyush G· Nov 15, 2024
docs.rs is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Valentina Liu· Nov 7, 2024
We wired docs.rs into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Michael Li· Oct 26, 2024
docs.rs is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
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