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StamManif/mcp-stama

An ultra-fast, single-binary MCP server written in Rust as a lightweight alternative to Node.js/Python.

10 stars
0 forks
Rust
momentum ▲ 20.0
created 2026-08-13
on radar since 2026-08-15
star trend 6 → 10 since 2026-08-15
View on GitHub ↗

About mcp-stama

The Ultra-Fast Swiss Army Knife MCP Server for AI Coding Agents Blazingly fast, zero-dependency, single static Rust binary built for Cursor, Claude Desktop, and Windsurf.

⚡ Why switch to mcp-stama? Standard Node.js or Python MCP tools consume 200MB+ RAM and take 1–3 seconds just to wake up. mcp-stama runs natively in under 10MB RAM with sub-millisecond tool response times, keeping your AI agent fast and your computer cool.

Metric Legacy MCP Servers (Node / Python) ⚡ mcp-stama (Rust) :--- :--- :--- Cold Startup Time 1,500ms – 3,000ms < 2ms (Instant) p50 Execution Latency 150ms – 800ms 300µs – 5ms (Sub-ms) Memory Footprint (RSS) 180 MB – 350 MB < 10 MB Dependencies 100+ nodemodules / pip packages Zero external runtimes Installation Requires Node.js / Python setup Single static binary

Each tool in mcp-stama is engineered to give your AI agent deep local context without wasting prompt tokens or spawning heavy child processes:

🔎 fastgrep: Sub-millisecond file search and regex scanning using ignore::WalkBuilder. Respects .gitignore and .ignore automatically while skipping binary/hidden files. 📦 gitsnapshot: Pure-Rust Git inspector powered natively by gix (gitoxide). Fetches HEAD commits, branch information, line deltas, and file status without calling the external git executable. 🐳 dockerwatcher: Instant host and container diagnostics powered by bollard and sysinfo. Gives your AI instant visibility into running Docker containers, system memory, CPU cores, and mapped ports. ⚡ auto-configurator: Includes --install-cursor and --install-claude flags to automatically inject mcp-st

From the project README.

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