Conductor Graph MCP

Name: Conductor Graph MCP
Author: base76-research-lab

by base76-research-labversion 0.1.1i★ –iRuns on your computer

Registry nameio.github.base76-research-lab/conductor-graph-mcp

Install

Overview

Description from the maker (original English)

Exposes a CognOS agent system as a machine-readable graph. Full system snapshot with one tool call.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other
You need to fill in: COGNOS_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: COGNOS_BASE_URL, COGNOS_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "conductor-graph": {
      "command": "uvx",
      "args": [
        "conductor-graph-mcp"
      ],
      "env": {
        "COGNOS_BASE_URL": "your-value",
        "COGNOS_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add conductor-graph --env COGNOS_BASE_URL=your-value --env COGNOS_API_KEY=your-value -- uvx conductor-graph-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "conductor-graph": {
      "command": "uvx",
      "args": [
        "conductor-graph-mcp"
      ],
      "env": {
        "COGNOS_BASE_URL": "your-value",
        "COGNOS_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "conductor-graph": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "conductor-graph-mcp"
      ],
      "env": {
        "COGNOS_BASE_URL": "your-value",
        "COGNOS_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

COGNOS_BASE_URL env
URL of the TrustPlane/CognOS gateway (default: http://127.0.0.1:8788)
COGNOS_API_KEY secret env
API key for the CognOS gateway (optional, leave empty if not required)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account base76-research-lab, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 32718 servers in this category
Published to the registry more recently than 3% of the other 32718 servers in this category
Basic checks equal to or better than 100% of the other 32718 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Conductor Graph MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: COGNOS_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 8 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, MemberVault MCP by usefulapi

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Conductor Graph MCP Server

mcp-name: io.github.base76-research-lab/conductor-graph-mcp

An MCP server that exposes a CognOS agent system as a machine-readable JSON graph. The conductor (Claude) calls a single tool and gets an immediate full system snapshot.

Built on the FNC architecture: Field (agents) → Node (processing) → Cockpit (oversight)

Installation

# From PyPI (recommended)

pip install conductor-graph-mcp

Or from source

git clone https://github.com/base76-research-lab/conductor-graph-mcp cd conductor-graph-mcp pip install -e .

Usage with Claude Code

Add to ~/.claude/settings.json under mcpServers:

"mcpServers": { "cognos-graph": { "command": "python3", "args": ["-m", "conductor_graph_mcp"], "env": { "COGNOS_BASE_URL": "http://127.0.0.1:8788", "COGNOS_API_KEY": "your-key" } } } }

Or with uvx:

"mcpServers": { "cognos-graph": { "command": "uvx", "args": ["conductor-graph-mcp"], "env": { "COGNOS_BASE_URL": "http://127.0.0.1:8788", "COGNOS_API_KEY": "your-key" } } } }

Restart Claude Code — the server activates automatically.

Note: Requires MCP SDK ≥ 1.0 (mcp on PyPI).

Tools

Tool	Description
`get_agent_graph`	Full graph — nodes + edges + summary
`get_node_status(node_id)`	Live status for a specific node
`get_edges`	Only edges (communication flow)
`get_blocked_nodes`	Shortcut: what is broken right now?

Known Node IDs

conductor

trustplane-gateway token-compressor session-memory armada-bus agent-critic agent-curator agent-ethics agent-synth agent-self agent-srt agent-indexer

Examples

get_agent_graph()                        # Full system overview

get_node_status("trustplane-gateway") # One specific node get_blocked_nodes() # What is broken? get_edges() # Communication flow

Node Status — Data Sources

Node	Source
`trustplane-gateway`	HTTP GET `/healthz` + `/v1/providers/health`
`token-compressor`	`/tmp/b76_compress.log`
`session-memory`	`/tmp/b76_save.log` + SQLite `traces.sqlite3`
`armada-bus`	`/tmp/b76_armada_bus.json` + `/tmp/b76_armada_bus.log`
`agent-*`	`psutil` — is the process running?
`conductor`	Always `active` (the conductor itself)

Environment Variables

Variable	Default	Description
`COGNOS_BASE_URL`	`http://127.0.0.1:8788`	TrustPlane gateway URL
`COGNOS_API_KEY`	_(empty)_	API key for gateway auth

Verification

# Test that the server starts

Conductor Graph MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

MemberVault MCP by usefulapi

README from the maker

Conductor Graph MCP Server

Installation

Or from source

Usage with Claude Code

Tools

Known Node IDs

Examples

Node Status — Data Sources

Environment Variables

Verification

Stop the gateway → trustplane-gateway.status = "error"

get_blocked_nodes() should return trustplane-gateway

Run a /save → session-memory.metrics.entries increases

get_node_status("session-memory") shows new count

License