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MCP verified Apache-2.0 Self-run

AutoDocs

mcp-trysita-autodocs · by TrySita

We handle what engineers and IDEs won't: generating and maintaining technical documentation for your codebase, while also providing search with dependency-aware context to help your AI tools understand your codebase and its conventions.

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Install

$ agentstack add mcp-trysita-autodocs

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
2mo ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Follow Us

Docs · Report Bug · Feature Request ·

Sita uses GitHub Discussions for Support and Feature Requests.

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AutoDocs, by Sita

Automate documentation for any repo: we traverse your codebase, parse the AST, build a dependency graph, and walk that graph to generate accurate, high-signal docs. A built-in MCP server lets coding agents deep-search your code via HTTP.

(Interested in our hosted or enterprise offerings? Join the waitlist at https://trysita.com)

What This Repo Does

  • Parses your repository using tree-sitter (AST parsing) and SCIP (symbol resolution).
  • Constructs a code dependency graph (files, definitions, calls, imports) and topologically sorts it.
  • Traverses that graph to create repository-wide, dependency-aware documentation and summaries.
  • Exposes a FastAPI backend for ingestion/search and a Next.js web UI for chat and exploration.
  • Provides an MCP server so agentic tools can query your repo with deep search.

Prerequisites

Install these once on your machine:

  • pnpm 10+ (Node 20+ recommended; Corepack is fine). Docs
  • uv (fast Python package manager). Docs
  • Docker + Docker Compose (to run everything locally). Docs

Reference docs

  • pnpm install: https://pnpm.io/installation
  • uv install: https://docs.astral.sh/uv/

GitHub Personal Access Token (optional)

Some features or scripts may call the GitHub API (e.g., fetching repo metadata). If you hit rate limits or need to access private repos, create a Personal Access Token (PAT) and set it in your environment.

  • How-to (official docs): https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/creating-a-personal-access-token
  • Create fine-grained PAT (recommended): https://github.com/settings/personal-access-tokens/new
  • Create classic PAT (legacy): https://github.com/settings/tokens/new

Suggested scopes

  • Public repos only: use a fine-grained token with selected repositories (read-only) or a classic token with public_repo.
  • Private repos: fine-grained token with read-only repo access to the needed repositories, or a classic token with repo.

Add to your .env (or shell env):

GITHUB_TOKEN=ghp_your_token_here

Notes

  • Keep this token secret; do not commit .env.
  • Fine-grained tokens are preferred for tighter, per-repo permissions.

Quickstart (copy/paste)

  1. Environment
cp .env.example .env

Configuration

Preconfigured
  • Database: DATABASE_URL (local postgres DB). In Compose, DB is available at postgresql://postgres:postgres@db:5432/app.
  • Ingestion API: INGESTION_API_URL for the web app to call the FastAPI service.
  • Analysis storage: ANALYSIS_DB_DIR controls where generated per-repo SQLite files live.

To-be configured
  • Summaries: SUMMARIES_API_KEY, SUMMARIES_MODEL, SUMMARIES_BASE_URL (OpenAI-compatible, default OpenRouter)
  • Embeddings: EMBEDDINGS_API_KEY, EMBEDDINGS_MODEL, EMBEDDINGS_BASE_URL (OpenAI-compatible, default OpenAI)
  • Rate limiting: MAX_REQUESTS_PER_SECOND for LLM summary batching (default 15)

  1. Run locally with Docker Compose
docker compose up -d

# If you want to see logs
docker compose up

You should now have:

  • Web UI at http://localhost:3000
  • API at http://localhost:8000 (OpenAPI schema at /schema)

Updating Docs

To refresh a repository’s docs after code changes, remove the repo and re-ingest it (temporary workflow):

  • UI: delete the repo in your Workspace, then add it again (ingestion starts automatically).

We’re actively adding a one-click "Resync" button in the UI, followed by automatic periodic ingestion (coming soon)

Using the MCP Server

The MCP server is available at http://localhost:3000/api/mcp and is designed for coding agents and MCP-compatible clients. It exposes a codebase-qna tool that answers repository-scoped questions by querying the analysis databases that AutoDocs produces.

Tips

  • Point your MCP client at http://localhost:3000/api/mcp.
  • Include an x-repo-id header with the repo ID (you can find it in the UI).
  • For setup guides with popular tools (Claude, Cursor, Continue), see https://docs.trysita.com

Development Workflow (for contributing)

For a local dev loop without Docker Compose you can run the API and web dev servers directly:

# concurrent dev (API + Web + DB)
./tools/dev.sh --sync

Database migration (run if modifying the postgres schema)

cd packages/shared
DATABASE_URL=postgresql://postgres:postgres@localhost:5432/app pnpm drizzle-kit push --config drizzle.main.config.ts

Project Layout

  • ingestion/ — Python FastAPI service, AST parser, graph builder, embeddings, and search.
  • webview/ — Next.js app (Turborepo workspace) and shared TS packages.
  • docker-compose.yml — local Postgres, API, and Web services.
  • tools/ — helper scripts (build_all.sh, dev.sh, uv_export_requirements.sh).

Troubleshooting

  • Web can’t reach the API: ensure INGESTION_API_URL=http://api:8000 is set in .env.
  • Missing uv/pnpm: install them (see links above)

Known Issues

  • In your repositories, code must live at the repository root, not in a nested folder.
  • Language support: currently supports TS, JS, and Python; currently working on expansion to Go, Kotlin, Java, and Rust.
  • Polyglot repos (multiple languages in one repo): not supported yet, but we’re actively working on it.

License

Licensed under the Apache 2.0 License. See [LICENSE](./LICENSE).

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.