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FastAPI backend orchestration, MCP infrastructure servers/clients, and community integrations.
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Basé sur la classification professionnelle SOC
Automated governance, hook installation, pre-commit validation, branch isolation, and safe commit operations.
Enforcement of safety guardrails, axiom verification, secret scanning, and mutability protections.
Building and managing premium statistical dashboards, RAG explorer UIs, warehouse log monitors, and real-time visualization centers.
Integration of agent systems with blockchain protocols, contracts, event stores, reputation networks, and collective verification engines.
AI model configuration, LLM memoization, agentic RAG search, and vector library maintenance.
Catalog generation, reference link verification, workshop documentation building, and knowledge gap analysis.
| name | idx-api-orchestration |
| description | FastAPI backend orchestration, MCP infrastructure servers/clients, and community integrations. |
| type | skill |
| version | 1.0.0 |
| category | routing |
| agents | ["python-ai-specialist","master-system-orchestrator"] |
| knowledge | ["api-integration-patterns.json"] |
| scripts | ["scripts/api/llm_config.py","scripts/api/mcp-api.py","scripts/api/mcp_api.py","scripts/api/workflow_service.py","scripts/mcp_infra/adapters/doc_tools.js","scripts/mcp_infra/list_sources_client.py","scripts/mcp_infra/scripts/find_contact_email.py","scripts/mcp_infra/scripts/mcp_server_automation.py","scripts/mcp_infra/scripts/send_draft_email.py","scripts/mcp_infra/scripts/send_gmail.py","scripts/mcp_infra/search_client.py","scripts/mcp_infra/servers/rag/rag_mcp_server.py","scripts/adapters/base_adapter.py","scripts/adapters/community_adapter.py","scripts/adapters/docs_adapter.py","scripts/adapters/feedback_adapter.py","scripts/adapters/github_adapter.py","scripts/adapters/npm_adapter.py","scripts/adapters/pypi_adapter.py"] |
| tools | [] |
| related_skills | ["orchestrating-mcp"] |
| references | [] |
| settings | {"auto_approve":false,"timeout_seconds":300} |
This skill manages the local API services that connect the Next.js visual frontend with Python CLI backend scripts, coordinates local MCP servers, and integrates with external package managers (npm, pypi, github).
Use this skill when modifying the Next.js API endpoints, building custom MCP servers (like the RAG mcp server), running the workspace email automation, or adding npm/pypi metadata adapters.
Follow these procedures to launch API endpoints and test MCP routing.
Start the local FastAPI service on port 8000:
conda run -p D:\Anaconda\envs\cursor-factory python scripts/api/mcp_api.py
Search local indices or verify server logs:
conda run -p D:\Anaconda\envs\cursor-factory python scripts/mcp_infra/search_client.py