Borrowing it
Nothing to install: this file belongs to prassanna-ravishankar/clearml-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/prassanna-ravishankar/clearml-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/prassanna-ravishankar/clearml-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/prassanna-ravishankar/clearml-mcp/claude-md)<a href="https://agentmods.dev/instructions/prassanna-ravishankar/clearml-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/prassanna-ravishankar/clearml-mcp/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/prassanna-ravishankar/clearml-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/prassanna-ravishankar/clearml-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00780 | $0.00780 |
| Opus 5 | $0.00390 | $0.00390 |
| Sonnet 5 | $0.00156 | $0.00156 |
| Haiku 4.5 | $0.00078 | $0.00078 |
Grade A, and why
clearml-mcp CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ClearML MCP Server
This project implements a Model Context Protocol (MCP) server for ClearML, enabling AI agents to interact with ClearML experiments, models, and projects.
Project Overview
The ClearML MCP server provides comprehensive tools for AI agents to:
- Discover and analyze ML experiments
- Compare model performance across tasks
- Retrieve training metrics and artifacts
- Search and filter projects and tasks
- Get comprehensive model context and lineage
Available Tools
Task Operations
get_task_info(task_id)- Get ClearML task details, parameters, and statuslist_tasks(project_name, status, tags)- List ClearML tasks with filtersget_task_parameters(task_id)- Get task hyperparameters and configurationget_task_metrics(task_id)- Get task training metrics and scalarsget_task_artifacts(task_id)- Get task artifacts and outputs
Model Operations
get_model_info(task_id)- Get model metadata and configurationlist_models(project_name)- List available models with filteringget_model_artifacts(task_id)- Get model files and download URLs
Project Operations
list_projects()- List available ClearML projectsget_project_stats(project_name)- Get project statistics and task counts
Analysis Tools
compare_tasks(task_ids, metrics)- Compare multiple tasks by metricssearch_tasks(query, project_name)- Search tasks by name, tags, or description
Technical Details
Dependencies
- fastmcp>=0.1.0
- clearml>=1.16.0
- pydantic>=2.0.0
Architecture
- Built with FastMCP framework
- Uses stdio transport for Claude Desktop integration
- Leverages existing ~/clearml.conf for authentication
- Implements JSON-RPC 2.0 protocol
Entry Point
- Main executable:
clearml-mcp(via uvx) - Main module:
src/clearml_mcp/clearml_mcp.py
Usage
Prerequisites
Users must have a configured ~/clearml.conf file with:
[api]
api_server = https://your-clearml-server.com
access_key = your-access-key
secret_key = your-secret-key
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 126 lines · 780 tokens per session scan A a4fee84c97a6
clearml-mcp CLAUDE.md is an instructions file published in the GitHub repository prassanna-ravishankar/clearml-mcp (16 stars, last pushed 2mo ago), licensed MIT. It adds 780 tokens to every session, about $0.0039 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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