Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"rust-crate-server": {
"env": {
"RUST_LOG": "warn",
"CRATE_REGISTRY_URL": "https://index.crates.io"
},
"args": [
"run",
"--release",
"--manifest-path",
"/path/to/mcp-rust-get-crate-latest-version/Cargo.toml",
"--",
"--log-level",
"warn"
],
"command": "cargo"
}
}
}Are you the author?
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Thanks for the amazing VM server provided by DartNode.
A high-performance Model Context Protocol (MCP) server for managing and querying Rust crate versions from crates.io. This implementation combines the latest MCP standards with Rust's sparse registry protocol for efficient, production-ready crate version management.
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ 1. Clone/Setup │───▶│ 2. Build Project│───▶│ 3. Run Server │
│ │ │ │ │ │
│ git clone ... │ │ cargo build │ │ cargo run │
│ cd project/ │ │ --release │ │ --release │
└─────────────────┘ └─────────────────┘ └─────────────────┘
│ │ │
▼ ▼ ▼
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ ✓ Rust 1.73+ │ │ ✓ Dependencies │ │ ✓ MCP Server │
│ ✓ Cargo ready │ │ ✓ Optimization │ │ ✓ stdio ready │
└─────────────────┘ └─────────────────┘ └─────────────────┘
│
▼
┌─────────────────┐
│ 4. Test & Use │
│ │
│ • List tools │
│ • Query crates │
│ • Verify cache │
└─────────────────┘
# Clone or navigate to this directory
cd /path/to/mcp-rust-get-crate-latest-version
# Build the project (includes optimizations)
cargo build --release
# Run the MCP server (communicates via stdio)
cargo run --release -- --log-level info
# 1. Run all tests
cargo test -- --test-threads=1 --nocapture
# 2. Test MCP protocol response
echo '{"jsonrpc": "2.0", "id": 1, "method": "tools/list"}' | cargo run --release -- --log-level warn
# 3. Test crate version lookup
echo '{"jsonrpc": "2.0", "id": 2, "method": "tools/call", "params": {"name": "get_latest_version", "arguments": {"crate_name": "serde"}}}' | cargo run --release -- --log-level warn
Integrate this MCP server with Cursor IDE to access Rust crate information directly within your development environment. This integration enables your AI assistant to query crate versions, check dependencies, and provide real-time crate information while you code.