prefect-mcp-serverofficial
A
licenseA
qualityB
maintenanceAn MCP server for interacting with Prefect resources, enabling AI assistants to monitor, manage, and debug workflows.
14
53
MIT
aiida-mcp
by ymzhang0
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@aiida-mcplist my AiiDA projects and worker status"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
AiiDA MCP
aiida-mcp is the shared control plane for the AiiDA ChatGPT plugin and the
AiiDA Manager. It owns project bindings and worker lifecycles; it never adds
an HTTP listener to aiida-worker, which remains a stdio JSON-RPC process.
Run locally
uv run --project . aiida-mcpThe daemon binds to 127.0.0.1:8043 by default:
http://127.0.0.1:8043/is the local AiiDA Manager console.n-http://127.0.0.1:8043/api/projects` is its project API.http://127.0.0.1:8043/mcpis the ChatGPT Plugin's streamable MCP endpoint.
Set AIIDA_MCP_TOKEN before exposing /mcp through a tunnel. The token is a
development guard only; production deployment must replace it with OAuth and
project-level authorization.
Create an AiiDA Project from the Manager first. Its immutable project_ref
is the value placed in the ChatGPT Project instructions and passed to every
MCP tool. A project binds an AiiDA profile, interpreter and AiiDA Group UUID;
the Group label is only used until the worker's group-query protocol receives
native UUID filtering.
This server cannot be deployed
Maintenance
ActivityMaintained
ResponsivenessNo issues
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