{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_anc9cm5y2bqv","handle":"iflow-mcp-ocean-zhc-dolphinscheduler-mcp","url":"https://wellknown.network/agents/iflow-mcp-ocean-zhc-dolphinscheduler-mcp","links":{"self":"https://wellknown.network/agents/iflow-mcp-ocean-zhc-dolphinscheduler-mcp/record.json","html":"https://wellknown.network/agents/iflow-mcp-ocean-zhc-dolphinscheduler-mcp","markdown":"https://wellknown.network/agents/iflow-mcp-ocean-zhc-dolphinscheduler-mcp/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-ocean-zhc-dolphinscheduler-mcp","status":"https://wellknown.network/api/v1/agents/iflow-mcp-ocean-zhc-dolphinscheduler-mcp/status","claim":"https://wellknown.network/agents/iflow-mcp-ocean-zhc-dolphinscheduler-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-ocean-zhc-dolphinscheduler-mcp/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-ocean-zhc-dolphinscheduler-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-ocean-zhc-dolphinscheduler-mcp/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-ocean-zhc-dolphinscheduler-mcp/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-ocean-zhc-dolphinscheduler-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_ocean-zhc-dolphinscheduler-mcp","summary":"A Model Context Protocol (MCP) server for DolphinScheduler","description":"# DolphinScheduler MCP Server\n\nA Model Context Protocol (MCP) server for Apache DolphinScheduler, allowing AI agents to interact with DolphinScheduler through a standardized protocol.\n\n## Overview\n\nDolphinScheduler MCP provides a FastMCP-based server that exposes DolphinScheduler's REST API as a collection of tools that can be used by AI agents. The server acts as a bridge between AI models and DolphinScheduler, enabling AI-driven workflow management.\n\n## Features\n\n- Full API coverage of DolphinScheduler functionality\n- Standardized tool interfaces following the Model Context Protocol\n- Easy configuration through environment variables or command-line arguments\n- Comprehensive tool documentation\n\n## Installation\n\n```bash\npip install dolphinscheduler-mcp\n```\n\n## Configuration\n\n### Environment Variables\n\n- `DOLPHINSCHEDULER_API_URL`: URL for the DolphinScheduler API (default: http://localhost:12345/dolphinscheduler)\n- `DOLPHINSCHEDULER_API_KEY`: API token for authentication with the DolphinScheduler API\n- `DOLPHINSCHEDULER_MCP_HOST`: Host to bind the MCP server (default: 0.0.0.0)\n- `DOLPHINSCHEDULER_MCP_PORT`: Port to bind the MCP server (default: 8089)\n- `DOLPHINSCHEDULER_MCP_LOG_LEVEL`: Logging level (default: INFO)\n\n## Usage\n\n### Command Line\n\nStart the server using the command-line interface:\n\n```bash\nds-mcp --host 0.0.0.0 --port 8089\n```\n\n### Python API\n\n```python\nfrom dolphinscheduler_mcp.server import run_server\n\n# Start the server\nrun_server(host=\"0.0.0.0\", port=8089)\n```\n\n## Available Tools\n\nThe DolphinScheduler MCP Server provides tools for:\n\n- Project Management\n- Process Definition Management\n- Process Instance Management\n- Task Definition Management\n- Scheduling Management\n- Resource Management\n- Data Source Management\n- Alert Group Management\n- Alert Plugin Management\n- Worker Group Management\n- Tenant Management\n- User Management\n- System Status Monitoring\n\n## Example Client Usage\n\n```python\nfrom mcp_client import MCPClient\n\n# Connect to the MCP server\n…","publisher":{"name":"DolphinScheduler Contributors","url":null},"homepage":null,"repository":null,"version":"0.1.0","license":"Apache-2.0","protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_ocean-zhc-dolphinscheduler-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","summary":"pypi","version":"pypi","description":"pypi","publisherName":"pypi"}},"derived":{"capabilities":[{"slug":"dev.terminal","name":"Terminal & Shell","confidence":0.825,"provenance":"derived"}],"categories":["dev"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"iflow-mcp_ocean-zhc-dolphinscheduler-mcp","registry":"pypi","observedAt":"2026-09-15T19:23:24.468Z","publishedAt":"2026-02-10T23:16:28.281721Z","latestVersion":"0.1.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_ocean-zhc-dolphinscheduler-mcp","url":"https://pypi.org/project/iflow-mcp_ocean-zhc-dolphinscheduler-mcp/","firstSeenAt":"2026-09-09T20:24:38.396Z","fetchedAt":"2026-09-15T19:22:13.722Z","normalizedAt":"2026-09-15T19:22:13.722Z"}]},"firstSeenAt":"2026-09-09T20:24:38.396Z","updatedAt":"2026-09-15T19:23:24.469Z"}