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Enables AI agents to manage OSOP workflows by providing tools for validation, execution, testing, and optimization. It also supports converting workflows betwee
Enables AI agents to manage OSOP workflows by providing tools for validation, execution, testing, and optimization. It also supports converting workflows between OSOP and external formats like GitHub Actions, BPMN, and Airflow DAGs.
5 tools for AI agents to validate, record, diff, optimize, and view OSOP workflows.
Any MCP-compatible client (Claude, Cursor, Windsurf) becomes workflow-aware.
| Tool | Description |
|---|---|
osop.validate |
Validate .osop.yaml or .osoplog.yaml against schema |
osop.record |
Execute workflow, produce .osoplog execution record |
osop.diff |
Compare two workflows or execution logs |
osop.optimize |
Synthesize better workflow from multiple execution logs |
osop.view |
Render .sop into standalone HTML document |
pip install osop-mcp
Add to your project's .mcp.json:
{
"mcpServers": {
"osop": {
"command": "python",
"args": ["-m", "osop_mcp"]
}
}
}
Add to claude_desktop_config.json:
{
"mcpServers": {
"osop": {
"command": "python",
"args": ["-m", "osop_mcp"],
"env": {}
}
}
}
OSOP is the standard format for describing and logging AI agent workflows. 4 node types, 4 edge modes.
pip install osop (validate, record, diff, optimize, view)Apache License 2.0
Добавь это в claude_desktop_config.json и перезапусти Claude Desktop.
{
"mcpServers": {
"osop-mcp-server": {
"command": "npx",
"args": []
}
}
}