Best for
- Researchers and developers who need to track and compare results across AI experiments
A
AI Experiment Logger
Community
Track and analyze AI experiments with MCP tools and web dashboard
GitHub source repository ↗
20FMRS · D
The server has a clear purpose for AI experiment tracking, but the specific tools it provides are not listed in the source. It comes from a community-driven plugin repository, so users should evaluate its production and security readiness.
The AI Experiment Logger is an MCP server that provides MCP tools and a web dashboard to track and analyze AI experiments. It is part of the Claude Code Plugins Plus Skills repository, which contains 471 plugins, 3,069 skills, and 347 agents. The server is available as an npm package '@claude-plugins/ai-experiment-logger' and uses stdio transport. This file describes only this server; it does not cover other servers in the repository.
Tools
The tool list has not been reviewed yet.
Setup
Install the server: pnpm add -g @intentsolutionsio/ccpi && ccpi install ai-experiment-logger. Alternatively, add the repository as a Claude Code plugin marketplace: /plugin marketplace add jeremylongshore/claude-code-plugins, then /plugin install ai-experiment-logger@claude-code-plugins-plus.
Fit and risk
Not for
- Users needing broad database tooling
- Users who expect a different client configuration beyond the npm package
Required permissions
- File system access to store experiment logs
- Network access to serve the web dashboard
Risks and side effects
- Experiment logs may contain sensitive data
- The web dashboard might expose unsecured endpoints
Troubleshooting
- Ensure the npm package is installed correctly
- Check that the server starts via stdio
- Verify the web dashboard is accessible
Use cases
Track AI experiments
Analyze experiment results
Visualize experiment data
Supported clients
Supported clients have not been confirmed yet.