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Code Factory MCP Server

by Zrk222
Developer ToolsUse Caution4.2MCP RegistryLocal
Free

Server data from the Official MCP Registry

Local proof facts for AI coding clients: intent, tests, Graph Ops, and review evidence.

About

Local proof facts for AI coding clients: intent, tests, Graph Ops, and review evidence.

Security Report

4.2
Use Caution4.2High Risk

Code Factory is a sophisticated code audit and verification tool with generally sound security practices. The codebase demonstrates careful input validation, proper error handling, and well-scoped permissions appropriate to its purpose. However, there are some code quality concerns around broad exception handling, subprocess usage without explicit shell=False declaration, and limited logging of security-relevant events that warrant attention. Supply chain analysis found 5 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.

4 files analyzed · 14 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

File System Read

Reads files on your machine. Normal for tools that analyze or process local data.

File System Write

Writes or modifies files on your machine. Check that this is expected for the tool.

env_vars

Check that this permission is expected for this type of plugin.

process_spawn

Check that this permission is expected for this type of plugin.

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-zrk222-code-factory": {
      "args": [
        "factoryline-code-factory"
      ],
      "command": "uvx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

Code Factory

Code Factory + ForgeLine (CF/FL) is a robust, local-first code-audit factory. It starts by collecting local software review evidence for the candidate change. It connects requirements, architecture checks, Python AST security analysis, behavioral test evidence, workflow integrity, specialty AI review, and actionable repair. Its receipts support review; the tool does not certify software, guarantee that defects are absent, or approve a release.

0.47.0 audit workflow preview

Fixed: editor audit views now expose missing and incomplete checks. Changed: Junie's route connects a diff to bounded evidence and a concrete repair handoff. Added: project-neutral factory audit workflows contracts with hash-bound candidate and execution evidence, plus VS Code/Open VSX 1.1.0 evidence tree, JetBrains 1.1.0 CF + ForgeLine tab, and a native OpenCode plugin. Candidate detection fixes: the Python scanner flags tests without a local assertion, constant-true assertions, and reflexive comparisons. Declared tenant reads can be checked with factory audit security --tenant-read-call db.get; this checks the declared tenant_id parameter binding, not tenant authentication. The unchanged eight-case public regression corpus now gives 6 true positives, 2 true negatives, and no false positives or false negatives locally, with the same tenant-read contract applied to defective, repaired, and clean inputs. This is a small development regression result, not independent accuracy, runtime coverage, or release approval. CI verification is still required. The autonomous ops plan explains the proposed Observer Agent loop and its gates. These versions remain release candidates until each channel has a verified provider publication receipt.

Graph Ops in action

Full-page Graph Ops dashboard capture: lineage runs, a forensic finding, first semantic divergence, recovery preview, guarded actions, graph lanes, and the next action

This full-page local capture shows Graph Ops tracing a change from sealed lineage through a forensic finding to a proposed recovery path. The guarded action remains locked; the dashboard is a read-only inspection surface.

Graph Ops Counterfactual Arena comparing a rejected patch, an eligible refactor, and a verified repair candidate

The Counterfactual Arena compares repair candidates and shows their evidence and risk. Winner controls and the Evidence Frontier show how a reviewer can inspect the rationale and choose the next proof.

The current Graph Ops UI also separates native deep-scan progress, evaluated deep-audit receipts, six runtime lanes, and individual JUnit test cases. Each panel labels its evidence state and next repair. Filter or search the recorded tests, then load more cases as needed; an inventory or a missing report never appears as a passing run. The JUnit reader accepts up to 10,000 cases and marks larger or malformed reports incomplete. A JUnit report is local observation without a current-candidate binding.

Updated Graph Ops audit results: labeled native deep scan, evaluated audit, six runtime lanes, and searchable individual test results

This local UI capture shows each reported test case with its status. The audit cards keep checks without a bound result explicitly marked not run.

Annotated Graph Ops telemetry capture: callouts identify the human waiting state, live run counts, evidence actions, and read-only boundary

The labels explain an original local Assembly capture. That pictured run is waiting for human input; it does not imply release approval or that every check passed.

Install and start

python -m pip install factoryline-code-factory
factory --help
factory guide

In an interactive terminal, factory checks PyPI and caches the result for up to 24 hours, then prints a notice when a newer version is available. Two simultaneous first runs can both check. It never downloads or installs the update. The check is quiet in CI, JSON output, server/MCP, help, version, and non-interactive runs; set FACTORY_DISABLE_UPDATE_CHECK=1 to turn it off. The plain PyPI request does not include a project path, account identifier, or usage data.

Run repository commands from the project being reviewed. factory guide is a read-only orientation; it does not run tests or agents.

Inspect this repository

These commands show the current architecture policy, the bounded static security scan, and the runtime-audit setup:

factory architecture health --root . --json
factory audit security --root . --json
factory runtime-audit status --root . --json

factory audit security checks a limited set of source patterns. It is not a penetration test. The runtime audit needs a separately reviewed plan and its own environment evidence. A status of NOT_RUN or a clean static scan is not a complete project audit.

To display individual tests in Graph Ops, run your suite with a JUnit report at .factory/test-reports/pytest.xml (for example, python -m pytest --junitxml=.factory/test-reports/pytest.xml). The local Studio reads the report and labels its candidate binding UNBOUND; it does not infer that those results still apply after source changes.

The prior snapshot's repository self-audit receipt records A (97.9/100) and 1,055/1,085 functions attributed to test intent (97.24%). That static measurement applies to its recorded source digest; it is not a grade for later edits, runtime coverage, or certification.

ForgeLine 0.10.8 computes Python complexity for public module functions and public class methods in its recorded metrics.scope.code_files; names starting with _ are excluded. Its AST metric counts branches, boolean alternatives, exception handlers, with, and assertions. Ruff C901 uses a different McCabe metric and also checks private functions. CI therefore runs python -m ruff check --select C901 factoryline tests separately at limit 10. The ForgeLine maximum must not be read as the maximum of every Python function. CI also checks action and reusable workflow references for immutable commit pins; the generic workflow evidence validator alone does not inspect those refs.

Release controls

Candidate preflight requires release-cadence admission and strict architecture health. Protected main requires CI and a separate specialty AI source review; the coordinator records that assessment, separately from test evidence. It is not a second human approval. Provider publication and marketplace approval are separate outcomes. See release channels.

Architecture health checks growth budgets. ForgeLine's repository inventory and feature QA are separate checks. The current gap review records how the published ForgeLine 0.10.7 graded this source F/70.7 while parser-corrected ForgeLine 0.10.8 grades it A/95.1. CF 0.47.0 requires 0.10.8 and checks real MJS, TS, and TSX feature QA during factory doctor --strict. Static signals are neither executed coverage nor a security certification.

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