Dispatcher MCP Server

What is Dispatcher MCP Server?

Dispatcher MCP Server is an MCP (Model Context Protocol) server that acts as a wrapper around the dpdispatcher library, enabling language models or other MCP clients to submit and manage computational jobs on local machines or HPC clusters.

How to use Dispatcher MCP Server?

To use the Dispatcher MCP Server, clone the repository, install the required libraries, configure dpdispatcher, and run the server using the provided command. You can then interact with the server through an MCP client.

Key features of Dispatcher MCP Server?

• Exposes dpdispatcher functionality via standard MCP tools.
• submit_job: Submits a new computation job.
• query_status: Checks the status of a submitted job.
• cancel_job: Attempts to cancel a running or queued job.
• fetch_result: Retrieves the paths of result files for a completed job.
• Includes MCP Resources and Prompts for interactive job configuration.
• Supports stdio transport for local integration.

Use cases of Dispatcher MCP Server?

1. Managing computational jobs for language models.
2. Submitting and tracking jobs on HPC clusters.
3. Integrating with other MCP clients for enhanced job management.

FAQ from Dispatcher MCP Server?

• What are the prerequisites for using the Dispatcher MCP Server?

You need Python 3.x and the dpdispatcher, mcp, and anyio libraries installed.

• How do I run the server?

Navigate to the directory containing the server files and run python dispatcher_mcp_server/fast_server.py.

• Can I integrate this server with other tools?

Yes! The server can be integrated with MCP clients like Cline by configuring the MCP settings.