# ADC Enterprise Orchestration

> Use this tool when you need to streamline AI workflows and automate tasks across multiple specialized servers. It solves problems in code quality analysis, sentiment classification, document summarization, and knowledge base search, providing domain-specific tools and real-time workflow visualization through a Flask web interface. The system accepts JSON-RPC 2.0 compliant requests and outputs comprehensive analytics, making it ideal for enterprise development, automated code review, customer feedback analysis, and intelligent document management.

Canonical page: https://skillsregistry.net/skills/harunraseed07-adc-enterprise-orchestration  
JSON: https://api.skillsregistry.net/v1/skills/harunraseed07-adc-enterprise-orchestration

## Description

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.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/harunraseed07-adc-enterprise-orchestration)
- **Repository:** <https://github.com/harunraseed07/adc_mcp_project>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "harunraseed07-adc-enterprise-orchestration"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/harunraseed07-adc-enterprise-orchestration` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/harunraseed07-adc-enterprise-orchestration/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
