High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
MCP server for Rust Analyzer and Cargo in Cursor
Cursor Rust Tools connects Cursor to Rust Analyzer, crate docs, and Cargo commands through MCP. It runs its own Rust Analyzer instance, builds local docs cache from `cargo docs`, and serves the results to the agent.
Cursor users who want their agent to inspect Rust types, crate docs, and build output.
You can let Cursor use live Rust project information instead of guessing from training data.
What it does
Rust Analyzer access
Starts a separate Rust Analyzer index for the project so the agent can fetch hover info, references, implementations, and type data.
Crate documentation lookup
Fetches docs for a crate or a specific symbol, such as `tokio` or `tokio::spawn`, and caches parsed HTML as markdown in `.docs-cache`.
Cargo command output
Exposes `cargo test` and `cargo check` output to the agent.
Project setup UI
Provides a UI to add projects, install the Cursor MCP config, and watch activity.
How to get it
- 1Run
cargo install --git https://github.com/terhechte/cursor-rust-tools
- 2Run
cursor-rust-tools
- 3Alternatively, once you have a ~/.cursor-rust-tools set up with projects, you can also…
cursor-rust-tools --no-ui
README
Cursor Rust Tools
A MCP server to allow the LLM in Cursor to access Rust Analyzer, Crate Docs and Cargo Commands.
Includes an UI for configuration.

What it does
Currently, various AI agents don't offer the AI the ability to access Rust type information from the LSP. This is a hurdle because instead of seeing the type, the LLM has to reason about the potential type.
In addition, the only information about the dependencies (say tokio) are what they were trained on which is
out of date and potentially for a different version. This can lead to all kinds of issues.
Cursor Rust Tools makes these available over the Model Context Protocol (MCP).
- Get the documentation for a
crateor for a specific symbol in thecrate(e.g.tokioortokio::spawn) - Get the hover information (type, description) for a specific symbol in a file
- Get a list of all the references for a specific symbol in a file
- Get the implementation of a symbol in a file (retrieves the whole file that contains the implementation)
- Find a type just by name in a file the project and return the hover information
- Get the output of
cargo test - Get the output of
cargo check

How it works
For the LSP functionality src/lsp it spins up a new Rust Analyzer that indexes your codebase just like the on running in your editor. We can't query the one running in the editor because Rust Analyzer is bound to be used by a single consumer (e.g. the open document action requires a close document in the right order, etc)
For documentation, it will run cargo docs and then parse the html documentation into markdown locally.
This information is stored in the project root in the .docs-cache folder.
Installation
cargo install --git https://github.com/terhechte/cursor-rust-tools
Run With UI
cursor-rust-tools
This will bring up a UI in which you can add projects, install the mcp.json and see the activity.
Run Without UI
Alternatively, once you have a ~/.cursor-rust-tools set up with projects, you can also just run it via
cursor-rust-tools --no-ui
Configuration
In stead of using the UI to create a configuration, you can also set up ~/.cursor-rust-tools yourself:
[[projects]]
root = "/Users/terhechte/Developer/Rust/example1"
ignore_crates = []
[[projects]]
root = "/Users/terhechte/Developer/Rust/example2"
ignore_crates = []
ignore_crates is a list of crate dependency names that you don't want to be indexed for documentation. For example because they're too big.
Configuring Cursor
One the app is running, you can configure Cursor to use it. This requires multiple steps.
- Add a
project-dir/.cursor/mcp.jsonto your project. TheCursor Rust ToolsUI has a button to do that for you. Running it without UI will also show you themcp.jsoncontents in the terminal. - As soon as you save that file, Cursor will detect that a new MCP server has been added and ask you to enable it. (in a dialog in the bottom right).
- You can check the Cursor settings (under
MCP) to see where it is working correctly - To test, make sure you have
Agent Modeselected in the currentChat. And then you can ask it to utilize one of the new tools, for example thecargo_checktool. - You might want to add cursor rules to tell the LLM to prefer using these tools whenever possible. I'm still experimenting with this.

The contents of all the mcp.json is the same. Cursor Rust Tools figures out the correct project via
the filepath
Open Todos
- Create a Zed extension to allow using this
- Proper shutdown without errors
- Removing a project is a bit frail right now (in the UI)
- Expose more LSP commands
- Allow the LLM to perform Grit operations
Files in the repo
- .cursor
- .github
- assets
- examples
- media
- src
- .gitignore
- Cargo.lock
- Cargo.toml
- README.md
Discussion (0)
Ask about usage, or say what you built with itSign in to join the discussion.
No comments yet. Be the first to say what this is good for.
More connectors

Universal provider proxy for OpenAI Codex & Claude Code — use any LLM (Claude, Gemini, Grok, DeepSeek, Ollama…) with Codex CLI, App, SDK, and Claude Code
Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.
Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
Stop your AI from making things up — it proposes, deterministic tools decide, every claim checked against ground truth with evidence. Grounded facts and context survive resets. Reverse engineering is the proving ground. MCP server + CLI.
20 MB lightweight cross-platform database client for 90+ databases, including MySQL, PostgreSQL, SQLite, Redis, MongoDB, DuckDB, SQL Server, and Dameng. Built-in AI, MCP Server, CLI, desktop and Docker. | 轻量级跨平台数据库管理工具,支持 MySQL、PostgreSQL、SQLite、Redis、MongoDB、达梦等 90+ 数据库,提供桌面端、Docker、CLI、内置 AI 助手和 MCP Server。