Skip to main content
Glama
resace3

Local DAG Builder MCP

by resace3

Local DAG Builder MCP

A private-by-default, local-first DAG editor launched through Model Context Protocol (MCP). Build causal diagrams visually, validate cycles immediately, and save/export portable JSON, SVG, or PNG.

DAG builder screenshot

flowchart LR
  User --> Codex
  Codex --> MCP[MCP server]
  MCP --> Launcher[local process manager]
  Launcher --> Web[React DAG website]
  Web --> Storage[Browser storage / JSON]

Quick start

git clone https://github.com/resace3/local-dag-builder-mcp.git
cd local-dag-builder-mcp
npm install
npm run build
npm run start:mcp

Then add the MCP configuration below and ask Codex: Start the local DAG builder. The tool returns a verified http://127.0.0.1:8080 URL. For manual web development: npm run dev.

Related MCP server: Flowchart MCP

Codex configuration

Codex uses an mcp_servers table. Add this to ~/.codex/config.toml (Windows: C:\\Users\\<you>\\.codex\\config.toml):

[mcp_servers.local_dag_builder]
command = "node"
args = ["C:\\path\\to\\local-dag-builder-mcp\\packages\\mcp-server\\dist\\index.js"]

On macOS/Linux, use /absolute/path/to/local-dag-builder-mcp/packages/mcp-server/dist/index.js. In WSL, use the Linux path. Restart Codex, then ask it to call get_dag_builder_status. See docs/mcp-tools.md for details.

Features

  • Drag, edit, duplicate, colour, search and auto-arrange typed nodes.

  • Directed React Flow edges with immediate self-loop and cycle rejection.

  • Live validity, warnings, counts, and topological order.

  • Undo/redo, local save/load, JSON import/export/copy, SVG and PNG exports.

  • MCP tools: start_dag_builder, stop_dag_builder, get_dag_builder_status, create_example_dag, validate_dag, open_dag_file.

Commands

npm run build · npm run dev · npm run start:web · npm run start:mcp · npm test · npm run test:e2e · npm run lint · npm run typecheck

scripts/setup.ps1 and scripts/setup.sh install and build in one step.

DAG schema

{ version: "1.0", name, nodes: [{ id, label, type, description?, color?, position }], edges: [{ id, source, target, label? }] }. Examples live in examples/.

Security and privacy

The website binds only to 127.0.0.1; no analytics or external services are used. The MCP server validates ports, uses spawn without a shell, caps request sizes, and only reads example files or paths under the project / explicit allowed folder. DAG JSON is data, never executable code. Details: docs/architecture.md.

Testing and troubleshooting

Run npm test, npm run typecheck, then npm run test:e2e. If port 8080 is busy, request another port (or the launcher picks the next available port). Delete browser local storage from the editor’s Clear action if a saved graph needs resetting.

MIT licensed.

A
license - permissive license
-
quality - not tested
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

View all related MCP servers

Related MCP Connectors

  • Create, browse, remix, collaborate on, and run durable AI workflow nodes from MCP hosts.

  • MCP-native collaborative markdown editor with real-time AI document editing

  • Private-by-default, local-first memory/context/task orchestrator for MCP apps and agents.

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/resace3/local-dag-builder-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server