ADC Enterprise Orchestration
Enterprise orchestration system built with Python and Ollama that coordinates multiple specialized servers for different AI tasks. The implementation features an intelligent host that automatically routes queries to appropriate specialized servers, each providing domain-specific tools like code quality analysis with bug detection, advanced sentiment classification with emotion detection, document summarization with entity extraction, and knowledge base search with question answering. Includes a Flask web interface for real-time workflow visualization, JSON-RPC 2.0 compliant communication, and comprehensive analytics for enterprise development workflows, automated code review processes, customer feedback analysis, and intelligent document management.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- data-analytics
- Source
- PulseMCP
- Repository
- github.com/harunraseed07/adc_mcp_project
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve ADC Enterprise Orchestration from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.