# Conductor Graph MCP Server

> Use this tool when you need to inspect and monitor complex system architectures, as it exposes a machine-readable JSON graph of the CognOS agent system, allowing for analysis of node status, edges, and blocked nodes. This enables AI agents like Claude to retrieve a full system snapshot and make informed decisions. Ideal for use cases requiring real-time system monitoring and diagnostics.

Canonical page: https://skillsregistry.net/skills/base76-research-lab-conductor-graph-mcp  
JSON: https://api.skillsregistry.net/v1/skills/base76-research-lab-conductor-graph-mcp

## Description

Exposes a CognOS agent system as a machine-readable JSON graph, enabling Claude to get a full system snapshot and inspect node status, edges, and blocked nodes.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ahd8jqu382)
- **Repository:** <https://github.com/base76-research-lab/conductor-graph-mcp>

## 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": "base76-research-lab-conductor-graph-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/base76-research-lab-conductor-graph-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/base76-research-lab-conductor-graph-mcp/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