openmcp-document/plugin-tutorial/usage/distribute-result.md

Distributing Your Experiment Results

Tab Restoration

OpenMCP automatically saves your experiment results in real-time. For each active server in the workspace, results are stored in .openmcp/tabs.{server-name}.json, where {server-name} matches the successfully connected MCP server's name.

Ensure your .gitignore file doesn't contain rules excluding the .openmcp folder. This way, when you:

• Commit code via Git
• Manage agent code
• Clone the project on another machine
• Share the project with others

...you can instantly restore your previous experiment context to continue development or debugging.

Connection Recovery

Each MCP server's connection details are saved in .openmcp/connection.json. Example:

{
  "items": [
    [
      {
        "connectionType": "STDIO",
        "command": "mcp",
        "args": [
          "run",
          "main.py"
        ],
        "url": "",
        "cwd": "{workspace}/simple-mcp",
        "oauth": "",
        "clientName": "openmcp.connect.STDIO",
        "clientVersion": "0.0.1",
        "env": {},
        "serverInfo": {
          "name": "Jinhui's MCP Server",
          "version": "1.9.2"
        },
        "filePath": "{workspace}/simple-mcp/main.py",
        "name": "Jinhui's MCP Server",
        "version": "1.9.2"
      }
    ]
  ]
}

When you:

• Open the left control panel, or
• Access a previously connected MCP server

OpenMCP automatically uses this information to:

1. Retrieve the workspace's server list
2. Attempt automatic reconnection

If OpenMCP encounters initialization or save errors during connection, you can:

1. Contact OpenMCP official support, or
2. Manually manage the .openmcp/connection.json file