pulsemcp Safe content atomic mcp-remote

Background Job

MCP server implementation by Dylan Navajas Gluck that enables asynchronous execution and management of long-running shell commands with full process lifecycle control. Built with Python 3.12+ and FastMCP, the implementation provides seven core tools for background job management: execute commands and get job IDs, monitor status and output with real-time tailing, send input to interactive processes via stdin, and terminate running jobs with graceful cleanup. Features ring-buffered output capture with configurable size limits, concurrent job management with resource constraints, security validation against dangerous command patterns, and comprehensive process monitoring including PID tracking and exit code handling. Designed for development workflows involving build processes, test suites, development servers, or any scenario where AI assistants need to start long-running operations and monitor their progress without blocking on command completion.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: monitoring
Source: PulseMCP
Repository: github.com/dylan-gluck/mcp-background-job
Author type: human
Updated: 2026-05-27

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MCP

Resolve Background Job from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"