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MCP Background Job Server

by dylan-gluck
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Python
Hybrid

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TDQS

A4.2/5.0

Scored across 7 tools

Disambiguation5/5

Each tool has a clearly distinct purpose with no ambiguity: execute_command starts jobs, get_job_output retrieves full output, get_job_status checks status, interact_with_job sends input, kill_job terminates jobs, list_jobs enumerates all jobs, and tail_job_output gets recent output. The tools cover different aspects of job management without overlap.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with snake_case: execute_command, get_job_output, get_job_status, interact_with_job, kill_job, list_jobs, and tail_job_output. The naming is predictable and readable throughout the set.

Tool Count5/5

With 7 tools, the count is well-scoped for a background job server. Each tool earns its place by covering essential operations like starting, monitoring, interacting with, and managing jobs, without being overly sparse or bloated.

Completeness5/5

The tool set provides complete lifecycle coverage for background jobs: execute_command (create), get_job_status/get_job_output/tail_job_output/interact_with_job (read/update), kill_job (delete), and list_jobs (list). No obvious gaps exist for the domain, enabling full agent workflows.

Maintenance

ActivityInactive
ResponsivenessNo issues

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