UpToCode MCP server

UpToCode

<!-- mcp-name: io.github.DDYRich72/uptocode -->

UpToCode is a design-time architecture-quality scanner for Python and TypeScript agent applications. It finds missing execution bounds, run budgets, approvals, validation, resilience controls, evals, and observability; explains the evidence; and produces an approval-driven plan for Codex without rewriting source code.

The product is deliberately narrower than a general agent-security scanner. Version 1.7 recognizes OpenAI, Anthropic, CrewAI, PydanticAI, LlamaIndex, LangGraph, conservative custom Python/TypeScript loops, and positive evidence of unbounded context growth. Static scans are local and offline. Optional GPT‑5.6 judgment remains explicit, bounded, redacted, and code-sharing gated.

The Python distribution, import package, and command are all uptocode. Version 1.0.0

is the published baseline; this source tree is prepared as 1.10.0 for the operator-gated Batch 3 release train.

Install locally

UpToCode requires Python 3.11 or newer. Install the verified 1.0 release from PyPI:

python -m pip install "uptocode==1.0.0"
uptocode --help

For repository development, use the editable test environment:

python -m pip install -e ".[test]"
uptocode --help

All ordinary tests are mocked/offline:

python -m pytest -q
python scripts/acceptance.py

Judge test build

The repository and package are public. No hosted credential or paid model call is required for the complete offline test build.

git clone https://github.com/DDYRich72/UpToCode.git
cd UpToCode
python -m venv .venv

Activate the environment with .venv\Scripts\activate on Windows PowerShell or source .venv/bin/activate on POSIX, then run:

python -m pip install --upgrade pip
python -m pip install -e ".[test]"
uptocode scan fixtures/bad_python --fail-on critical
uptocode scan fixtures/bad_python --format json --output report.json
uptocode review report.json --approve AA001,AA003 --reject AA012 --non-interactive
uptocode plan report.json --manifest .uptocode/manifest.json --output FIXPLAN.md
python scripts/acceptance.py

The first scan intentionally exits 1 because the fixture contains critical findings. The remaining commands produce a report-bound review manifest and an approved-only FIXPLAN.md; they do not edit the fixture. To inspect the local MCP surface, run uptocode serve --transport stdio --root . from an MCP client or use the JSON registration under MCP registration. python scripts/acceptance.py also launches a real stdio server, lists all ten tools, and calls check_loop offline.

The submitted-content hosted transport is deployed at https://uptocode-mcp-1015314816960.us-central1.run.app/mcp. Its bearer credential is issued separately and read from UPTOCODEAPIKEY; never commit it or enter it into the website. The immutable production revision passed readiness, unauthorized-access, AA001, tool-discovery, judgment-gate, rate-limit, and payload-free-log checks. Hosted judgment is off, no OpenAI key is attached, and verification made zero paid model calls.

Scan, review, plan

Shortened. The full README is on GitHub.