Where can I find the documentation?
Documentation is available online on GitHub Pages or offline by running `make docs` after installing dev dependencies.
@styada
Basic information
Trying to use mcp servers for setting up local rag
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
An example implementation of a Python application applying Clean Architecture and SOLID principles, providing a template for building maintainable services. It includes out-of-the-box functionalities like FastAPI, Dramatiq, Socket.io, SQLAlchemy, and OpenTelemetry.
Create a GitHub repository using the template. Install uv and Docker, then use Docker commands like make containers, docker compose up dev-http, or Make commands like make install-dependencies and make dev-http. Run tests with make test or docker compose run --rm test.
Documentation is available online on GitHub Pages or offline by running `make docs` after installing dev dependencies.
You need to install `uv` and Docker. On macOS, `uv` can be installed with `brew install uv`; Docker can be downloaded from docker.com.
Yes, it includes authentication and Identity Provider using ORY Zero Trust architecture, and full observability with OpenTelemetry (Metrics, Traces, Logs).
It uses SQLAlchemy with the repository pattern and Alembic for database migrations, configured to support both sync and async engines.
It is an example implementation but includes production-like features such as CI/CD pipelines, authentication, observability, and a minimized Dockerfile for smaller production images.

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Exact, shared memory for AI agents: a hierarchical database where totals always add up, every write is attributed to the agent and person behind it, and any figure traces back to its source file. Agents create databases,
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