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  1. Home
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  3. Persistproc
Persistproc logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 6:32:09 PM

Persistproc

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View Repository8 GitHub StarsTotal stargazers on GitHub for the source repository (8 stars).Visit Website
process-managementdeveloper-toolsmcplogs

Manage long-running development processes and expose their status and logs to MCP-compatible agents.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag โ€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "irskep-persistproc": {
      "command": "uvx",
      "args": [
        "persistproc"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (3) Directory Badge Claim listing Alternatives๐Ÿค– More in Coding Agents

Overview

The irskep/persistproc MCP server lets agents and developers start, stop, restart, inspect, and read output from long-running local processes. It runs as a local service on http://127.0.0.1:8947, while processes are launched through the persistproc command-line tool and continue running independently of the terminal that started them. Reach for it when agents need shared visibility into development servers or several local services, but not when another supervisor already owns process management.

Use cases

โ€ขStart a local web development server for agent-managed coding workflows
โ€ขRestart a stuck development process through an MCP client
โ€ขInspect error output from an API or frontend server
โ€ขMonitor logs from several locally managed services

Key features

โ€ขStart, stop, and restart processes
โ€ขList managed processes and status
โ€ขFilter processes by PID, command, or directory
โ€ขRetrieve captured stdout and stderr
โ€ขExpose MCP tools on a local HTTP endpoint

Capabilities & Tool Schemas (3) ~60 tokensApproximate context cost of this serverโ€™s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server โ€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Persistproc.

ctrl

Unified process control: start, stop, or restart processes.

list

List all managed processes and their status. Can optionally filter by pid, command, or working directory and provides log paths.

output

Retrieve captured output from a process.

How Persistproc works

What irskep/persistproc MCP server does

The irskep/persistproc MCP server provides a shared process layer for development workflows involving services that stay running, such as web servers, API processes, frontend servers, asset builders, and database processes. Developers start a command through the persistproc CLI instead of launching it directly. The process remains available after the initiating terminal is closed, while its output is captured for later inspection.

Agents connect through MCP and can work with the same managed processes as the developer. This avoids repeatedly copying terminal output into an agent conversation and gives multiple MCP-compatible clients a common view of local services. The project is intended to be tool-agnostic and is useful when more than one agent needs to inspect or control the same development environment.

How it works

Running persistproc serve starts the local MCP server. The server listens at http://127.0.0.1:8947, and an MCP client can call its process-management tools programmatically. A separate command such as persistproc npm run dev registers and starts the child process; output can still be streamed to the terminal used to launch it.

The ctrl tool handles starting, stopping, and restarting processes. The list tool reports managed processes and their status, with optional filtering by process ID, command, or working directory. It also returns log paths. The output tool retrieves captured process output, including the error stream when requested.

Setup and configuration

Install the Python package with pip install persistproc, then run persistproc serve in a dedicated terminal and keep that server running. The command displays configuration instructions for connecting agents. In another terminal, change to the project directory and prefix the command you want managed with persistproc, for example persistproc npm run dev.

The irskep/persistproc MCP server has no configuration file. Process state and management are handled at runtime. Python 3.10 or newer is indicated by the project metadata. The repository is released under the MIT License.

Tools and capabilities

  • Start, stop, or restart managed processes through ctrl.
  • List process status and inspect matching processes with list.
  • Filter listings by PID, command, or working directory.
  • Retrieve captured process output and log locations.
  • Let agents inspect multiple service logs through one local MCP endpoint.

Limitations and notes

The project is not intended to replace a process supervisor such as supervisord. It is most suitable when persistproc starts the processes itself and needs to expose both control and output to agents. Processes launched by another system are not currently a good fit for management through the irskep/persistproc MCP server; the README instead suggests writing their logs to a predictable location and telling the agent where to find them.

The tool list is deliberately small. The README explains that limiting the number of tools can help language models and avoid tool-count limits in some IDEs. Cursor is shown as a client example, and the project also discusses use with Claude Code, although that client is not one of the standardized compatibility labels in this listing.

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
8
Stargazers on the source repository.
Last commit
1y ago
Most recent push to the default branch.
Tools exposed
3
Callable tools this server registers over MCP.
Directory activity
4 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Persistproc

Install the Python package with `pip install persistproc`.

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Technical Specs & Signals

Category๐Ÿค–Coding Agents
PricingFree
More technical detailsExpand โ–พ
TransportSTDIO
RuntimePython
AuthNo auth required
LicenseMIT
ClientsCursor
Last updatedSep 4, 2026
9/9 checks healthy over the last 32d
Views4
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars8
GitHub Star CountTotal stargazers on GitHub representing community popularity (8 stars).
Last commit1y ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jul 18, 2025
52Quality signal: Good ยท 52/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools27/30
Adoption & activity1/15
Community engagement1/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 17d ago via OSV.dev ยท persistproc (PyPI)

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