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flameox MCP Server

morluto/flameox

Score: 81.6 → 0% Rank #1572 MCP Server
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Runtime evidence that helps agents trace, profile, and burn down hotspots in application and native code, GPU kernels, and inference stacks.

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Overview

morluto/flameox is a Python tool licensed under MIT. Runtime evidence that helps agents trace, profile, and burn down hotspots in application and native code, GPU kernels, and inference stacks. Topics: benchmarking, coding-agents, debugging, local-first, mcp, performance, profiling, python, runtime-analysis, developer-tools, gpu-profiling, mcp-server, model-context-protocol, performance-analysis, performance-engineering, performance-regression, profiler, dsh-plugin, cordis, dsh.

Ranked #1572 out of 24846 indexed tools.

In the top 7% of all indexed tools.

Ecosystem

Python MIT 112 pypi/wk
benchmarkingcoding-agentsdebugginglocal-firstmcpperformanceprofilingpythonruntime-analysisdeveloper-toolsgpu-profilingmcp-servermodel-context-protocolperformance-analysisperformance-engineeringperformance-regressionprofilerdsh-plugincordisdsh

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 191

191 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → recently updated

Issue Health 25% 100%

414/415 issues closed → responsive maintainer

Contributors 10% 3

3 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads 13% 112/wk

112 weekly installs → early adoption

Forks 13
Description Good
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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AgentRank score for morluto/flameox
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Matched Queries

topic:mcptopic:mcp-servertopic:model-context-protocol

From the README

<h1 align="center">flameox</h1>

<p align="center">
  
</p>

<p align="center"><strong>Bounded local runtime evidence for coding agents.</strong></p>

Flameox coordinates profilers, benchmark tools, trace processors, and direct local targets. It
turns an explicit artifact or command into bounded evidence while keeping durable preservation
optional. The agent chooses hypotheses and experiments; Flameox records observed inputs,
execution provenance, typed evidence, coverage, and limitations.

There is no workspace to initialize or project configuration to maintain. Pass exact artifact
paths to analysis and an explicit argv plus absolute working directory to capture. Flameox does not
search parent directories, edit project files, or provide a hosted service.

## Quick start

Configure an MCP client with the global setup command:

```console
npx flameox@latest setup
```

Setup detects supported clients and asks which configurations to update. For automation, select
clients explicitly, for 
Read full README on GitHub →

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