
A Rust-native MCP server that manages FAF (Foundational AI-context Format) files for persistent project context. Exposes 8 tools including faf_auto for zero-config setup, faf_init for manifest detection across Cargo/npm/pip/go, faf_git for GitHub-based generation, and faf_compress for token optimization. Built on the rmcp SDK with stdio transport, ships as a 4.3MB binary via cargo install. The format is IANA-registered as application/vnd.faf+yaml. Useful when you're tired of re-explaining your project structure to AI in every session and want a single YAML file that captures your tech stack, key files, and build commands. Runs 112 integration tests against the compiled binary. Part of a cross-platform ecosystem with parallel implementations for Claude, Gemini, and Grok.
Persistent Project Context for Rust MCP clients. Native. Fast. cargo install
The AGENTS.md Edition (v0.6.0) — one.faf/rust-faf-mcp · rmcp 3.0.1 (MCP Tier 1 foundation) · faf-rust-sdk 3.1 (the same always-33 kernel faf-wasm-sdk uses) · solid cargo-native Rust MCP for Rust devs
v0.6.0 — adds faf_agents, a 10th tool: generates AGENTS.md from project.faf, non-destructively (preserves any hand-written content outside the faf-managed block). Ported line-for-line from faf-cli's generateAgentsMd() — byte-for-byte parity is deliberate, so this MCP stays backward-compatible with any faf-cli output as it evolves. See CHANGELOG.
FAF defines. MD instructs. AI codes.
Stop re-explaining your project to every AI session. One
.faffile holds your persistent project context. Every AI reads it once and knows what you're building.
Rust-native MCP (Model Context Protocol) server for FAF — structured AI project context in YAML (application/vnd.faf+yaml). Single binary, stdio transport, 4.3 MB stripped. Built on rmcp and faf-rust-sdk.
# Rust toolchain:
cargo install rust-faf-mcp
# No Rust (downloads GH Release binary for darwin/linux x64):
npx rust-faf-mcp
Then point any MCP client at it:
# Claude Code
claude mcp add faf rust-faf-mcp
// WARP / Cursor / Zed / Claude Desktop — any stdio MCP client
{
"mcpServers": {
"faf": {
"command": "rust-faf-mcp"
}
}
}
No flags, no config files, no network listener. Pure stdio JSON-RPC.
Or via Homebrew (macOS, pre-built):
brew install Wolfe-Jam/faf/rust-faf-mcp
faf_auto detects your project, creates a .faf, enhances it to max score, and syncs CLAUDE.md — in one shot:
faf_auto complete
━━━━━━━━━━━━━━━━━
Score: 0% → 85% (+85) ◇ BRONZE
Steps:
1. Created project.faf
2. Second enhancement pass
3. Created CLAUDE.md
Path: /home/user/my-project
What it produces:
# project.faf — your project, machine-readable
faf_version: "3.3"
project:
name: my-api
goal: REST API for user management
main_language: Rust
version: "0.1.0"
license: MIT
instant_context:
what_building: REST API for user management
tech_stack: Rust 2024
key_files:
- Cargo.toml
- src/main.rs
- README.md
commands:
build: cargo build
test: cargo test
stack:
backend: Rust
build_tool: cargo
Every AI agent reads this once and knows exactly what you're building. No 20-minute onboarding. No wrong assumptions.
| Tool | What it does |
|---|---|
faf_auto | Zero to AI context in one command — init, enhance, sync, score, done |
faf_init | Create or enhance project.faf from Cargo.toml, package.json, pyproject.toml, or go.mod |
faf_git | Generate project.faf from any GitHub repo URL — no clone needed |
faf_discover | Walk up the directory tree to find the nearest project.faf |
| Tool | What it does |
|---|---|
faf_score | Score AI-readiness 0-100% with field-level breakdown |
faf_sync | Sync project.faf → CLAUDE.md (preserves existing content) |
faf_agents | Generate AGENTS.md from project.faf (non-destructive, preserves hand-written content) |
| Tool | What it does |
|---|---|
faf_read | Parse and display project.faf contents |
faf_compress | Compress .faf for token-limited contexts (minimal / standard / full) |
faf_tokens | Estimate token count at each compression level |
faf_init is iterative — run it again and it fills in what's missing. Score goes up each time.
src/
├── main.rs # ~20 lines — tokio entry, rmcp stdio transport
├── server.rs # FafServer: #[tool_router], ServerHandler, resources
└── tools.rs # Business logic — all 10 tools, pure functions returning Value
tokio single-threaded (current_thread)reqwest async (only used by faf_git for GitHub API)faf-rust-sdk 3.1 (Cargo pin — the facade over faf-kernel/faf-fafb in faf-rust; score() for the real Mk4 number, validate() for structural checks only)rmcp 3.0.1 with #[tool_router] / #[tool_handler] — JSON-RPC, schema generation, stdio transport (Tier-1 assessed SDK cut)Tools return serde_json::Value. The server adapts them to Result<String, String> for rmcp's IntoCallToolResult.
133 tests (117 integration + 16 unit):
cargo test # runs all 133
# Full ship bar (same gates as GitHub CI — run before push)
bash scripts/ci.sh
# Optional: block push on red CI twin
bash scripts/install-hooks.sh
| File | Tests | Coverage |
|---|---|---|
mcp_protocol.rs | 9 | Init handshake, tools/list, resources, schema validation, ID preservation |
tools_functional.rs | 28 | All 10 tools — happy path, error paths, language detection |
tier1_security.rs | 12 | Path traversal, null bytes, shell injection, oversized input, malformed JSON |
tier2_engine.rs | 36 | Corrupt YAML, sync replacement, pipelines, dual manifests, legacy filenames, direct paths |
tier3_edge_cases.rs | 10 | Unicode, CJK, score boundaries, unknown fields, GitHub URL parsing |
tier4_aero.rs | 22 | Manifest structure, version sync, server.json, context block, manifest-server cross-validation |
src unit | 16 | Skills extension digest + scoring resource, agents:: generator (7), inject:: non-destructive write (5) |
Tests spawn the compiled binary as a subprocess and communicate via stdin/stdout JSON-RPC — true integration tests against the real server.
One format, every AI platform.
| Package | Platform | Registry |
|---|---|---|
| rust-faf-mcp | Rust | crates.io |
| claude-faf-mcp | Anthropic | npm + MCP #2759 |
| gemini-faf-mcp | PyPI | |
| grok-faf-mcp | xAI | npm |
| faf-cli | Universal | npm |
git clone https://github.com/Wolfe-Jam/rust-faf-mcp
cd rust-faf-mcp
cargo build --release
# Binary at target/release/rust-faf-mcp (4.3 MB)
Edition: 2024 | LTO: enabled | Strip: symbols
If rust-faf-mcp has been useful, consider starring the repo — it helps others find it.
npx rust-faf-mcp (no Rust toolchain; downloads GH Release binary)faf-context (skills/list · digests)application/vnd.faf+yamlmcp-name: one.faf/rust-faf-mcpIf you use rust-faf-mcp or the .faf / .fafa formats in research or production, please cite the format papers:
Wolfe, J. (2025). Format-Driven AI Context Architecture: The .faf Standard for Persistent Project Understanding. Zenodo. https://doi.org/10.5281/zenodo.18251362
Wolfe, J. (2026). Why Agents Need a Passport: .fafa — Portable Identity for the Agentic Era. Zenodo. https://doi.org/10.5281/zenodo.21951641
MIT
Built by @wolfe_jam | wolfejam.dev