mcpredux

mcpredux

A Model Context Protocol (MCP) server that exposes the Redux algorithms API as tools for AI assistants. Redux provides solvers, verifiers, and polynomial reductions for a wide range of computational complexity problems including NP-Complete, NP-Hard, and P-class problems.

Tools

Tool	Description
list_problems	List all problems, regardless of complexity class
list_solvers	List solvers available for a given problem
list_verifiers	List verifiers available for a given problem
list_reductions	List reductions available from a given problem
list_visualizations	List visualizations available for a given problem
find_reduction_path	Find the chain of reductions between two NP-Complete problems
get_info	Get detailed info about any named object (problem, solver, verifier, reduction)
generate_problem	Generate a random problem instance (undirected graph, directed graph, or 3SAT)
solve_problem	Solve a problem instance using a named solver
verify_solution	Check whether a solution certificate is valid for a problem instance
reduce_problem	Reduce a problem instance to another problem via a named reduction
reduce_certificate	Map a solution certificate through a reduction (source → target direction)
visualize_problem	Get the visualization of a problem instance

Setup

Requires uv. It installs a Python interpreter if needed (the version in .python-version) and creates .venv from the lock file:

uv sync

Dependencies are declared in pyproject.toml and pinned in uv.lock. After changing pyproject.toml, run uv lock and commit both files together; CI and the Docker build fail if the lock is stale.

Modes

stdio (default)

Runs as a local MCP server over stdin/stdout. Used when the client and server are on the same machine.

uv run server.py [--base-url URL]

Claude Desktop / Claude Code config:

{
  "mcpServers": {
    "redux": {
      "command": "uv",
      "args": ["--directory", "/path/to/mcpredux", "run", "server.py"]
    }
  }
}

http

Runs as an HTTP server (streamable-HTTP MCP transport) suitable for deployment behind a reverse proxy such as nginx.

uv run server.py --mode http [--host 127.0.0.1] [--port 8000]

GET /health answers ok once the server is up, without contacting the Redux backend — the probe for a compose healthcheck or rbs integration-test.

Claude Code config (supports remote HTTP natively):

{
  "mcpServers": {
    "redux": {
      "type": "http",
      "url": "https://your-server/mcp"
    }
  }
}

proxy

Bridges Claude Desktop (stdio only) to a remote HTTP MCP server. Claude Desktop spawns this process locally; it forwards all traffic to the remote server.

uv run server.py --mode proxy --proxy-url https://your-server/mcp

Claude Desktop config:

{
  "mcpServers": {
    "redux": {
      "command": "uv",
      "args": [
        "--directory", "/path/to/mcpredux", "run", "server.py",
        "--mode", "proxy",
        "--proxy-url", "https://your-server/mcp"
      ]
    }
  }
}

Tests

uv run pytest            # unit: the MCPServer in-process against a scripted fake Redux
rbs integration-test     # integration: the built image serving MCP over HTTP

integration/ lives outside tests/ on purpose: it needs a running container and takes its address from RBS_BASE_URL, which rbs integration-test sets after building the image and waiting on /health. To point it at a container you started yourself:

RBS_BASE_URL=http://127.0.0.1:8000 uv run pytest integration -v

test_image_smoke.sh remains the quick manual check of a built image over both transports.

Dependencies

• mcp — official Python MCP SDK (2.x, MCPServer)
• httpx — async HTTP client
• uvicorn — ASGI server (http mode)

CI and publishing

.github/workflows/rbs.yml runs the whole pipeline through the Redux Build System inside this repo's dev container: audit → format-check → lint → unit-test → build → integration-test → push. Gates live in rbs.toml, and the same command runs locally:

rbs ci

On a push to main, and only if every gate passed, push publishes the exact image the integration tests ran against to ghcr.io/reduxisu/mcpredux as :<sha7> and :latest. On pull requests it reports skipped.