Securely dispatch tasks to allowlisted repositories and retrieve status or results.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "dispatch-mcp" yet — see the docs or source repo.
Use dispatch-mcp to send a task to the allowlisted repository owner/repo: run the nightly-build workflow, then return the task ID, current status, and any available result links.
Returns the created task details, including task ID, execution status, and links or references for later results.
Use dispatch-mcp to check the execution progress for task ID 12345 and tell me whether it succeeded, failed, or is still running.
Returns the current task status and, when available, includes error details, completion time, or a summary of results.
Use dispatch-mcp to retrieve the final results for task ID 12345, summarize them clearly, and point out key output files or log locations.
Returns a concise summary of the task results, indicates whether the goal was achieved, and lists relevant artifacts or log locations.
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Scale MCP task execution across nodes with auth and real-time streaming.
Use one MCP server for filesystem, database, web, and system operations.
Securely proxy MCP services as OpenAPI endpoints for easier integration and deployment.
Analyze disk images with AI through MCP for fast forensic investigation.