広告掲載
MCP.so
ログイン

Rust Docs MCP Server

@Govcraft

リポジトリ

基本情報

カテゴリ

メモリとナレッジ

ライセンス

MIT

トランスポート

stdio

作者

Govcraft

Rust Docs MCP Server について

🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, uses embeddings/LLMs, and provides accurate context via a tool call.

#rust#caching#information-retrieval#ai#mcp#embeddings#cargo#openai#rustdoc#developer-tools#crates-io#rustlang#rust-library#context-aware#semantic-search#ai-safety#rag#coding-assistant#llm#mcp-server

Rust Docs MCP Server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

Rust Docs MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Rust Docs MCP Server?

Rust Docs MCP Server is an MCP server that fetches documentation for a specified Rust crate, generates embeddings, and provides an MCP tool to answer questions about the crate based on the documentation context. It is designed for AI-powered coding assistants (such as Cursor, Cline, Roo Code) to access current, crate-specific API documentation, improving the accuracy of generated Rust code.

How to use Rust Docs MCP Server?

Install by downloading the pre-compiled binary for your OS from the GitHub Releases page (or build from source with the Rust Toolchain). Set the OPENAI_API_KEY environment variable. Run from the command line with a package ID specification (e.g., rustdocs_mcp_server serde@^1.0), optionally adding features with -F. The server communicates via stdio and exposes a tool query_rust_docs and a resource crate://<crate_name>. On first run for a new crate/version/feature set, it downloads docs and generates embeddings (then caches them). Subsequent launches use the cache.

Key features of Rust Docs MCP Server

  • Targets a single Rust crate per server instance.
  • Supports specifying required crate features for documentation generation.
  • Uses OpenAI text-embedding-3-small for semantic search.
  • Uses OpenAI gpt-4o-mini-2024-07-18 for LLM summarization.
  • Caches documentation and embeddings in the XDG data directory.
  • Runs as a standard MCP server over stdio.

Use cases of Rust Docs MCP Server

  • AI assistant generates code using the latest API of a crate like serde or tokio.
  • A developer configures multiple server instances for different crates (e.g., reqwest and async-stripe).
  • An LLM queries crate-specific documentation before writing code, reducing outdated suggestions.
  • Teams ensure generated Rust code aligns with current crate versions and feature flags.

よくある質問

1

What is Rust Docs MCP Server?

It is an MCP server that provides an AI assistant with up-to-date, crate-specific documentation via semantic search and LLM summarization.

2

How can I use it with multiple crates?

Run multiple server instances concurrently, each targeting a different crate (using different package ID specifications). Configure them in your MCP client (e.g., Roo Code or Claude Desktop) with separate entries.

3

What are the prerequisites?

An OpenAI API key (set as `OPENAI_API_KEY` environment variable) and network access to download crate dependencies and interact with the OpenAI API.

4

How much does embedding generation cost?

Typically fractions of a US penny per crate. For example, a large crate like `async-stripe` with over 5000 documentation pages cost $0.18 USD during testing.

5

How does caching work?

Cached documentation and embeddings are stored in `~/.local/share/rustdocs-mcp-server/<crate_name>/<version>/<features_hash>/` using `bincode`. Different version requirements and feature sets are cached separately. If the cache is missing or corrupted, the server regenerates automatically.

コメント

「メモリとナレッジ」の他のコンテンツ

OpenLore

aakarim

Serve your docs to AI agents over SSH and MCP. Agents use ls, cat, grep, find, and pipes against a virtual filesystem backed by your documentation. Identity-scoped access, governed writing with human approval, and portab

66

Code Graph Rag

vitali87

The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs

5.3K

server-noonien - shared memory MCP

sequico

Shared, serverless, conflict-free memory for AI agents: a multi-machine drop-in for the MCP memory knowledge graph.

UmmahAPI

Yousuf Kazmi

Islamic source data for assistants: Quran, hadith, tafsir, duas, prayer times and qibla. Answers come from real sources with citations instead of recalled text, so verses and hadith are not hallucinated. 36,000+ hadiths

Takibi Base

Deian Isac

Ask your Takibi Base collections anything; get answers with cited passages and a support score.

広告掲載