Best for
- Developers who want lightweight tracking of AI experiments inside a Claude Code workflow
- Users who prefer MCP tools over manual spreadsheets for managing experiment metadata
A
ai-experiment-logger
Community
MCP server for logging and analyzing AI experiments
GitHub source repository ↗
43FMRS · D
ai-experiment-logger is a Node.js-based stdio MCP server offering 7 tools for logging, querying, updating, deleting, summarizing, and exporting AI experiment data. It ships from a large community plugin marketplace repository, is not officially maintained, and suits individuals or small teams doing lightweight experiment tracking, though data sensitivity and supply-chain provenance warrant user diligence.
ai-experiment-logger is an MCP server plugin from the claude-code-plugins-plus-skills repository, running locally over stdio via Node.js. It provides tools to log, query, update, delete, summarize, and export AI experiment records. The repository is an open-source Claude Code plugin and skill marketplace (tonsofskills.com); this server is one of 8 MCP servers bundled in it, released under the MIT license and not maintained by Anthropic.
Tools
log_experiment
Record a new AI experiment along with its parameters and results
list_experiments
List all logged AI experiments
get_experiment
Retrieve the details of a specific experiment
update_experiment
Update an existing experiment record
delete_experiment
Delete a specific experiment record
get_statistics
Compute summary statistics from logged experiments
export_experiments
Export experiment data
Setup
Build the server from plugins/mcp/ai-experiment-logger in the repository to produce dist/index.js (requires Node.js), then add a stdio MCP server entry in your client config with command set to node and args pointing to the absolute path of that dist/index.js file. Alternatively, install via the repository's ccpi CLI or Claude Code's /plugin marketplace add command to pull in the plugin marketplace before enabling this server.
claude_desktop_config.json
{"mcpServers":{"ai-experiment-logger":{"command":"node","args":["/absolute/path/to/plugins/mcp/ai-experiment-logger/dist/index.js"]}}}
Fit and risk
Not for
- Teams needing an enterprise-grade experiment tracking platform with versioning, collaboration, or cloud sync
- Production deployments requiring official Anthropic support or independent security audits
Required permissions
- Local filesystem read/write access to persist experiment log data
- Ability to run a Node.js process communicating with the MCP client over stdio
Risks and side effects
- This server comes from a community marketplace repository with hundreds of plugins; it is not maintained by Anthropic and has no stated independent security audit
- Experiment records may contain sensitive data such as prompts or outputs, so local storage access should be controlled
- Installing via a third-party CLI (ccpi) or marketplace script carries some supply-chain risk; review the source before installing
Troubleshooting
- Confirm the build step has been run and dist/index.js actually exists
- Verify the path in the MCP config is an absolute path matching the actual build output location
- Confirm a supported Node.js version is installed
- Check MCP client logs to verify the stdio connection is established correctly
- Ensure the process running the server has read/write permission to the experiment data storage location
Use cases
Log parameters and results from repeated AI/model experiments for later comparison
Query, update, or delete historical experiment records
Generate aggregate statistics across logged experiments
Export experiment data for reporting or further analysis
Supported clients
Claude DesktopFull support
Claude CodeFull support