MCP Server Builder
Enables users to generate, deploy, and register a read-only MCP server from database connection parameters without writing code.
README
🛠️ MCP Server Builder
Generate, deploy, and register a read-only MCP server from user-provided
database parameters — no code required. A non-engineer connects a new data
source end to end in minutes; every write (INSERT/UPDATE/DELETE) is refused.
The six-step flow
- Collect connection parameters (user ID, password, server/IP, port) — password masked.
- Test the connection (
SELECT 1) with a live status indicator; clear re-prompt on failure. - Generate a SELECT-only MCP server (sqlglot-validated).
- Deploy it (runs over HTTP).
- Register it with the host application (writes
generated_servers/registry.json). - Query your data through the new server — writes are refused.
Architecture
frontend/app.py— Streamlit wizard UI (talks to the backend over HTTP).backend/api.py— FastAPI service (test / deploy / register / query).backend/{connection,generator,deploy}.py+templates/mcp_template.py— build logic.
Run locally
Two processes (recommended for development):
python -m uvicorn backend.api:app --port 8000 --reload
streamlit run frontend/app.py
Or a single process — the frontend auto-starts the backend in a background thread if nothing is already listening on port 8000:
streamlit run frontend/app.py
Deploy free on Streamlit Community Cloud
The app is single-container ready: frontend/app.py launches the FastAPI
backend in-process (a daemon thread, started once via @st.cache_resource),
so the whole six-step flow runs inside the one process Streamlit Cloud gives you.
- Push this repo to public GitHub.
- Go to https://share.streamlit.io → New app → select the repo.
- Set Main file path to
frontend/app.py. - Deploy. You get a public
*.streamlit.appURL.
requirements.txt (Python deps) and packages.txt (system unixodbc) are
installed automatically.
Hosting notes / limits (free tier)
- Only publicly-reachable databases work. The container can't reach a DB on
your laptop (
127.0.0.1). Use a cloud DB — e.g. free-tier Neon/Supabase (Postgres) or TiDB Cloud/PlanetScale (MySQL). - SQL Server needs Microsoft's ODBC driver, which Streamlit Cloud can't install — use MySQL/PostgreSQL/TiDB for the hosted build (or self-host for MSSQL).
- The app sleeps when idle and storage is ephemeral: generated servers
and
registry.jsondon't persist across restarts (they regenerate on next use). - The registered MCP endpoints are container-internal (
localhost) — reachable by this platform (which is the host application for querying), not by an external Claude Desktop. That matches the scenario: teams connect and query through the platform.
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