
MCP Shrimp Task Manager
Intelligent task management for AI agents: plan, decompose, and execute dev tasks with persistent memory.
Add to your client
Copy the config for your MCP client and paste it into its config file.
git clone https://github.com/cjo4m06/mcp-shrimp-task-manager.git && cd mcp-shrimp-task-manager && npm install && npm run buildPaste into ~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"mcp-shrimp-task-manager": {
"command": "node",
"args": [
"/path/to/mcp-shrimp-task-manager/dist/index.js"
],
"env": {
"DATA_DIR": "/path/to/your/shrimp_data",
"TEMPLATES_USE": "en",
"ENABLE_GUI": "false"
}
}
}
}Step-by-step guides: Add to Claude Desktop · Add to Cursor · Add to Windsurf
Before you start
- Node.js 18+
- npm or yarn
- MCP-compatible AI client (e.g. Claude Code, Claude Desktop, Cline, Cursor, Windsurf)
- Clone and build the repository (npm install && npm run build)
About MCP Shrimp Task Manager
An MCP server that transforms how AI agents approach software development by providing persistent task memory, structured planning/execution/verification workflows, automatic task decomposition, and dependency tracking. It converts natural-language requests into structured, testable dev tasks and supports a research mode and project-wide coding standards.
Tools & capabilities (16)
plan_taskCreate a comprehensive task plan from a natural-language description.
execute_taskExecute a specific task by id.
list_tasksDisplay all tasks with their status.
delete_taskRemove a task from the queue.
complete_taskMark a task as completed.
update_taskModify task details and requirements.
split_tasksBreak down a complex task into subtasks.
analyze_taskPerform deep analysis of task requirements and complexity.
verify_taskValidate that a task has been completed correctly.
reflect_taskReview and improve the approach taken for a task.
query_taskSearch tasks by criteria such as status.
get_task_detailRetrieve detailed information and history for a task.
clear_all_tasksRemove all tasks, creating an automatic backup.
init_project_rulesInitialize project standards and coding rules.
research_modeEnter systematic research mode to explore technologies and solutions.
process_thoughtProcess and structure thoughts (used internally by the agent).
What this server can do
MCP Shrimp Task Manager provides tools for these capabilities — tap one to see every MCP server that does the same:
When to use it
- Feature development: plan a feature (e.g. JWT authentication), auto-decompose into subtasks, and execute step by step.
- Bug fixing: research an issue, create a fix plan, and run all fix tasks in continuous mode.
- Research and learning: compare technologies (e.g. React vs Vue) and create a migration plan from the findings.
- Maintaining context across long sessions and token limits via persistent task memory.
- Enforcing consistent coding standards across a project with project rules.
Security notes
Runs locally over stdio with no authentication. Task data is stored on disk at the path set by DATA_DIR. The README's example launches Claude Code with `--dangerously-skip-permissions`; use that flag with caution. An optional web GUI (ENABLE_GUI=true) and a separate Task Viewer expose local HTTP interfaces.
MCP Shrimp Task Manager FAQ
Is there an npm package to run it directly?
No. The README installs it by cloning the repo, running npm install, and npm run build, then pointing the MCP client at dist/index.js.
Which AI clients are supported?
Any MCP-compatible client. The docs show configuration for Claude Code (.mcp.json), Claude Desktop, and Cline, and the project targets Cursor and Windsurf as well.
Do tasks persist across sessions?
Yes. Task data is stored on disk under the DATA_DIR path, so tasks and progress persist across sessions and survive token limits.
Is there a visual interface?
Yes. There is a React-based Task Viewer (run from tools/task-viewer) and an optional lightweight Web GUI enabled with ENABLE_GUI=true.
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