Code Generator MCP Server (remiehneppo/code-generator-mcp) is an MCP server listed on the M8ven Trust Index. M8ven has not graded it: we have no way to read this server ourselves. No publisher has claimed this listing.

C
Limited view
69/100
2 months ago

Code Generator MCP Server

Exposes structured code generation tools via MCP protocol, enabling users to generate production-grade Python functions, refactor buggy code, and create multi-function modules using local or cloud-based OpenAI-compatible APIs.

Limited view. Automated analysis covers part of this stack. Findings reflect what we verified. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

Limited view: static analysis for Python is partially covered.

How we verified

Code Verified⚡ Live Monitored: not connected

Verified is a snapshot. Live keeps it current, and builds your track record.

⚡ Connect GitHub → continuous verification on every pushwhy connect →

Who stands behind it

remiehneppo

Source: Glama

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find. Or connect your repo for our deepest verification, Live Monitored: read-only, revoke anytime. What we access →

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
🔐
You'll be asked for 2 credentials: CODE_GEN_API_KEY, OPENAI_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configCODE_GEN_API_URLAPI URL --api-url / OPENAI_BASE_URL https://api.openai.com/v1 OpenAI-compatible endpoint
configCODE_GEN_MODELModel --model / OPENAI_MODEL gpt-4o The model name to target
configOPENAI_BASE_URLAPI URL --api-url CODE_GEN_API_URL / https://api.openai.com/v1 OpenAI-compatible endpoint
configOPENAI_MODELModel --model CODE_GEN_MODEL / gpt-4o The model name to target
🔐 secretCODE_GEN_API_KEYAPI Key --api-key / OPENAI_API_KEY (Empty) API token (optional for local endpoints)
🔐 secretOPENAI_API_KEYAPI Key --api-key CODE_GEN_API_KEY / (Empty) API token (optional for local endpoints)
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

4/4 tools missing one or more hints — generate_standard_function (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); generate_codebase_context (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); generate_bugfix_refactor (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +1 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Tool handlers catch errors

Only 0/4 tool handlers wrap calls in try/catch (0%)

Wrap each tool handler body in try/catch and return a structured error response.

License file

No license file

Add a LICENSE file (MIT, Apache-2.0, etc.).

Tests exist

No test files found

Add tests that exercise each declared tool.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 5 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/remiehneppo-code-generator-mcp-odv557)](https://m8ven.ai/mcp/remiehneppo-code-generator-mcp-odv557)
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commit: 5c8cd28f86a26a2384e3354a7716ac2170f2e643
code hash: 6d3fc1448f7bc3624f63aa2309ffc10e3310358cf1d59e90042697f4f341979d
verified: 6/22/2026, 12:10:37 PM
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