skore-mcp
Model Context Protocol server for Skore (experiment tracking and model evaluation)
Overview
5 featuresIn the LLM eval & observability space, skore-mcp takes a focused approach. It focuses on managing and evaluating machine learning experiments and models with standardized protocols. skore-mcp is an open-source project aimed at machine learning engineers and data scientists. The project is open source (MIT). skore-mcp is available on the web, the command line, and API, and it can be self-hosted.
fanfcorp builds and maintains skore-mcp, and it first shipped in 2026. The project is developed in the open on GitHub with 3 commits in the last 90 days. Key capabilities include experiment tracking, model evaluation, and MCP server. It exposes integrations via an MCP server.
- Experiment tracking
- Model evaluation
- MCP server
- LLM integration
- Self-hosted
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
Frequently asked questions about skore-mcp
- What is skore-mcp?
- Skore-mcp focuses on managing and evaluating machine learning experiments and models with standardized protocols. It is catalogued under LLM eval & observability on PulseGate.
- Who should use skore-mcp?
- skore-mcp is an open-source project built for machine learning engineers and data scientists.
- Is skore-mcp free?
- Yes — skore-mcp is open source under the MIT license and free to use.
- What platforms does skore-mcp run on?
- skore-mcp runs on the web, the command line, and API. It can also be self-hosted.
- Is skore-mcp still maintained?
- The GitHub repository shows 3 commits in the last 90 days.
- What are alternatives to skore-mcp?
- Similar projects tracked by PulseGate include coros-training-mcp, pyscn-mcp, and link-mcp.coros-training-mcppyscn-mcplink-mcp
- Who develops skore-mcp?
- skore-mcp is developed by fanfcorp.
- How long has skore-mcp been around?
- skore-mcp first shipped in 2026.
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