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GraphyLoop MCP Server

Workflow planner, wave dispatcher, persistent swarm memory, and deploy preflight for AI agents.

GraphyLoop scores 67 (Good), licensed MIT and written in Python. It installs as a local process. It does not declare tools yet. Filed under AI and memory. GitHub shows 3 stars. Install configs are generated for 10 clients. Being listed in the registry is not the same as being vendor-official.

by chadixearthMITPython3 stars
Trust score
67Good
Trust score 67 of 100, Good

Good trust

67 of 100 from six public signals. Nobody can buy a point.

  • Listed in the official MCP registry.
  • OSI-style license: mit.
How we score trust
Scorecard

License, quality and maintenance

How grades work
Trust breakdown

Where the 67 comes from

22 + 20 + 2 + 10 + 10 + 3 = 67. Each factor is capped, so no single signal can carry a listing.

Registry22 / 30

Active in the official MCP registry, plus a known vendor namespace.

Registry: 22 of 30 points.
Maintenance20 / 20

How recently the repository saw a commit or release.

Maintenance: 20 of 20 points.
Popularity2 / 20

GitHub stars and weekly downloads, on a log scale.

Popularity: 2 of 20 points.
License10 / 10

A clear, OSI-style open-source license.

License: 10 of 10 points.
Security10 / 10

Not archived, a secure install path, a pinned version.

Security: 10 of 10 points.
Docs3 / 10

A real summary, a README with depth, listed tools.

Docs: 3 of 10 points.

Install

Pick your client, copy the config, paste it in.

Needs Cursor or VS Code installed on this device. The button opens the app and asks you to confirm before it adds the server.

~/Library/Application Support/Claude/claude_desktop_config.json
{  "mcpServers": {    "chadixearth-graphyloop": {      "command": "npx",      "args": [        "-y",        "graphyloop@0.6.5"      ]    }  }}

Environment variables

This server does not declare environment variables.

Tools show up when the registry metadata or the repository README lists them. Public READMEs are read directly. A GitHub token is used only when one is already configured.

About

Workflow planner, wave dispatcher, persistent swarm memory, and deploy preflight for AI agents.

Frequently asked questions

What is GraphyLoop MCP Server?

Workflow planner, wave dispatcher, persistent swarm memory, and deploy preflight for AI agents.

How do I install GraphyLoop MCP Server in Claude Desktop, Cursor, or VS Code?

Pick your client in the Install section on this page and copy the generated config into the client's config file. Step-by-step guides: Claude Desktop, Cursor, and VS Code. GraphyLoop MCP Server runs locally from the npm package graphyloop with the command npx -y graphyloop@0.6.5.

Is GraphyLoop MCP Server free and open source?

Yes. GraphyLoop MCP Server is released under the MIT license, an OSI-approved open-source license, so you can use, modify, and self-host it under those terms.

Does GraphyLoop MCP Server support remote (HTTP) connections?

No remote endpoint is listed for GraphyLoop MCP Server. It runs locally on your machine over stdio, started by your MCP client.

How is GraphyLoop MCP Server's trust score calculated?

GraphyLoop MCP Server scores 67 out of 100 (Good). The score adds six capped public signals: registry status, maintenance, popularity, license, documentation, and security. Nobody can pay for points. Read the methodology for the full formula.

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