Codehealth Mcp

Code Health MCP (CodeScene)

Structural maintainability feedback for AI-assisted coding. Complements style/lint skills (coding-standards, plankton-code-quality) with design-level health scores and regression gates.

Upstream: codescene-oss/codescene-mcp-server Package: @codescene/codehealth-mcp (stdio via npx)

Security and boundaries

Opt-in (ECC): The codescene block in mcp-configs/mcp-servers.json is a template only. ECC plugin installs do not auto-enable bundled MCP servers. Copy the entry into your config only if you want it. You can exclude it during ECC install/sync with ECC_DISABLED_MCPS=codescene,....

Credentials: No bundled token. Set CS_ACCESS_TOKEN yourself (see getting-a-personal-access-token.md in the upstream repo). Never commit tokens to the repo.

What the tools read: When invoked, tools analyze files and git state in the local repository you point them at (paths you pass, plus branch context for analyze_change_set). They do not run by themselves. For standalone mode, follow upstream privacy docs: codescene-mcp-server README and CodeScene policies. Do not use this skill for secrets, credentials, or paths you do not want analyzed.

If the MCP is unavailable (offline, bad token, server crash): Do not invent Code Health scores. Tell the user the check was skipped. Continue only with explicit user approval. Prefer lint/tests/verification-loop for gating when MCP is down. Re-enable checks once the server connects.

When to Use

• User asks to review code quality, refactor a file, or check if AI changes degraded maintainability
• Before editing a hotspot, legacy module, or unfamiliar file
• Before commit or pull request when you need a maintainability safeguard
• After a large agent-written diff — verify Code Health did not regress
• Pair with verification-loop, tdd-workflow, or /quality-gate as a structural check (not a replacement for tests/lint)

When to Activate

Same triggers as When to Use above — this heading is what ECC uses for skill auto-activation.

How It Works

1. Connect the MCP server

Copy the codescene entry from mcp-configs/mcp-servers.json into your harness MCP config.

Claude Code (~/.claude.json → mcpServers):

"codescene": {
  "command": "npx",
  "args": ["-y", "@codescene/codehealth-mcp"],
  "env": {
    "CS_ACCESS_TOKEN": "YOUR_CS_ACCESS_TOKEN_HERE"
  }
}

Project-scoped: merge the same block into .mcp.json at the repo root.

Token setup is documented in the upstream repo (link above). Standalone mode does not require a paid CodeScene platform account for the four tools listed below. Restart the session and confirm the codescene server is connected before relying on scores.

2. Call standalone tools only

| Tool | When to use | |------|-------------| | code_health_review | Full structural analysis before modifying a file | | code_health_score | Quick numeric score after each change (delta check) | | pre_commit_code_health_safeguard | Block commits that introduce Code Health regressions | | analyze_change_set | Branch-level check before opening a PR |

Do not call platform-only tools (e.g. repository-wide technical debt hotspot lists). Do not reference delta_analysis — not available on standalone.

3. Interpret scores (1–10)

| Range | Meaning | Agent behavior | |-------|---------|----------------| | 9.0–10.0 | Green — healthy | Safer to extend; still prefer vertical slices | | 4.0–8.9 | Yellow — debt | Tread carefully; no drive-by refactors | | 1.0–3.9 | Red — severe debt | Narrow scope only |

4. Run the feedback loop

Before touching a file

1. Run code_health_review on the target path.
2. Record baseline score and listed code smells.
3. Plan the smallest change that addresses the task.

Scope by score: below 5 — minimal diff only; 5–7 — no broad refactors; above 7 — safer to refactor, still verify after each edit.

After each change

1. Run code_health_score on the same file.
2. Compare to the baseline from code_health_review.
3. If the score regressed, fix before continuing. Never mark the task done while the score is lower than when you started.

Before every commit — run pre_commit_code_health_safeguard on the repository path.

Before a PR — run analyze_change_set against the base branch (e.g. main).

Examples

Example: Flask maintainability improvement

On pallets/flask, an agent loop using only standalone tools:

1. code_health_review on a target module (baseline 4.82)
2. Targeted refactor addressing listed smells
3. code_health_score after each edit
4. pre_commit_code_health_safeguard before commit
5. analyze_change_set before PR

Result: Code Health 4.82 → 9.1 (free standalone token only).

Example: AGENTS.md enforcement block

Paste into the project AGENTS.md or CLAUDE.md:

## Code Health (CodeScene MCP)

Before modifying any file: run `code_health_review`, note score and issues.

- Score below 5: problematic range — scope changes narrowly.
- Score 5–7: warning range — no broad refactors.

After each change: run `code_health_score` to verify delta.

- If score regressed: fix before continuing; never declare done if score dropped.

Before every commit: run `pre_commit_code_health_safeguard`.

Before PR: run `analyze_change_set`.

Example: anti-patterns vs correct loop

# BAD: Edit first, check later
[large refactor without code_health_review]

# BAD: Ignore score drop
"Tests pass" → mark task done while Code Health decreased

# BAD: Broad refactor on red-score file (below 5)
Drive-by cleanup across the module

# GOOD: review → small change → score → commit safeguard → analyze_change_set

Pairing with ECC

| ECC skill / flow | Code Health MCP role | |------------------|----------------------| | coding-standards | Style/naming; Code Health = structure/complexity | | plankton-code-quality | Write-time lint/format; Code Health = pre/post edit structural gate | | verification-loop / /quality-gate | Add structural regression check before "done" | | security-review | Security vs maintainability — use both when relevant | | tdd-workflow | Tests pass ≠ healthy design — check score after refactors |

Context tip: ECC recommends keeping MCP count low. Enable codescene when doing substantive edits; disable when not needed.

Related Skills

• coding-standards — baseline conventions
• plankton-code-quality — write-time lint/format hooks
• verification-loop — build/test/lint gate
• tdd-workflow — test-first development
• security-review — security checklist
• documentation-lookup — library docs via Context7 (orthogonal)

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: affaan-m
• Source: affaan-m/ECC
• License: MIT
• Homepage: https://ecc.tools

Install and usage instructions live in the source repository linked above.