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MCP shrimp task manager: MCP server, setup and security

MCP shrimp task manager is an open-source MCP server published on GitHub that lets an AI agent manage coding tasks with task memory, self-reflection and dependencies. Its repository has 2,149 stars and its last commit is from August 21, 2025 and it is licensed under MIT.

Inactive for over a yearTop 10% by stars

What MCP shrimp task manager does

According to its repository: “Task management for coding agents with task memory, self-reflection and dependency management.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. MCP shrimp task manager is listed under Developer tools, a category of 475 servers in the directory, where it ranks #29 by stars.

Topics declared by the repository: codeagent, coding-assistant, task-manager, agent, thought-processes, cursor-ai.

Installing and connecting MCP shrimp task manager

No package or remote server is declared in the official MCP registry: you install it from source, following the repository README.

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: TypeScript.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

Points found for MCP shrimp task manager:

  • Maintenance: no commit for 14 months. Possible flaws and protocol changes are no longer tracked.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on April 12, 2025, the cjo4m06/mcp-shrimp-task-manager repository has 2,149 stars and 256 forks, with 39 open issues. It has more stars than 95% of the servers in the directory. Last change 14 months ago.

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

StorybookStorybook : 91.4K91.4KFront End ChecklistFront End Checklist : 74.6K74.6KTldrawTldraw : 51.1K51.1KCodebase MemoryCodebase Memory : 47.4K47.4KCCXTCCXT : 44.5K44.5KPostHog MCP ServerPostHog MCP Server : 40.4K40.4KClaude task masterClaude task master : 28.3K28.3KAgent Skills Search ServerAgent Skills Search Server : 26.6K26.6KMCP shrimp task managerMCP shrimp task manager : 2.1K2.1K
GitHub stars of the most followed servers in the category (log scale); MCP shrimp task manager in orange. Checked October 25, 2026.

Verdict

MCP shrimp task manager is a reasonable choice; check the points below before connecting it.

Strengths

  • Widely followed: 2.1K stars
  • Permissive licence (MIT)

Limitations

  • No commit for 14 months
  • Install from source

Avoid if…

  • Production use without reviewing the code

Frequently asked questions

How do I install MCP shrimp task manager?

No package is declared in the MCP registry: clone the cjo4m06/mcp-shrimp-task-manager repository, follow its README, then declare the start command in your client's MCP configuration.

Is MCP shrimp task manager free?

The code is published under the MIT licence and can be used free of charge.

Is MCP shrimp task manager safe?

Points to watch: maintenance. Give it minimum rights and approve sensitive actions.

Is it an official server?

Nothing says so: it is a project published by cjo4m06 on GitHub. Check who maintains it before giving it access.

What are the alternatives to MCP shrimp task manager?

In the same category: Radar Kubernetes MCP Server, Repowise, Jscpd, and Apify MCP server. Radar Kubernetes MCP Server and Repowise score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score