chimeraforge (Sahil170595/Chimeraforge) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 5 tools. No publisher has claimed this listing.

C
Emerging
74/100
11 days ago

chimeraforge

LLM deployment planner: given a model and a GPU, answers will it fit, will it hit your SLO, and what will it cost. Sizes VRAM and KV-cache from the model's real architecture, and labels every number measured, estimated, or unknown.

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

Code Verified⚡ Live Monitored: not connected

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Who stands behind it

Sahil170595

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 →

Install from

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
// 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.
configPYTHONPATH
configHF_HUB_OFFLINE
configBANTER_FORCE_BACKEND
configBANTER_QUANT_MODE
configBANTER_OLLAMA_MODEL
configPYTHON
configBANTER_TRT_ALLOW_NO_CALIBRATOR
configBANTER_TR118_FORCE_EXPORT
configBANTER_TR118_SKIP_EXPORT
configBANTER_TR118_SKIP_TRT_BUILD
configBANTER_TR118_FORCE_TRT_REBUILD
configBANTER_TR118_REBUILD_TRT_ON_INIT_FAIL
configBANTER_TR118_TORCH_COMPILE_BACKEND
configBANTER_TR119_PROMPT_CONFIG
configCUDA_VISIBLE_DEVICES
// 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

5/5 tools missing one or more hints — plan_deployment (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); chimeraforge_resolve_model (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); chimeraforge_list_hardware (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +2 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.

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 2 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/sahil170595/chimeraforge)](https://m8ven.ai/mcp/sahil170595/chimeraforge)
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commit: 4e63339b576f3af33e55d5335f767738e4002293
code hash: 22e97fe277b68ac591a0dd6858e7aff4cf8e616a9852221da062449f9c93a5e6
verified: 9/2/2026, 6:04:22 PM
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