Agents IA
unstructured
Turn messy documents into clean, structured data for language models.
★ 15,5 k étoilesApache-2.0
Voir le guide →mcp-shrimp-task-manager est un projet de agents IA open source, créé par cjo4m06 (cjo4m06/mcp-shrimp-task-manager sur GitHub). Il compte 2 147 étoiles sur GitHub et 254 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 21 août 2025.
Shrimp Task Manager: an MCP server that turns natural language into structured, dependent dev tasks.
Decide which project you want an agent to plan and execute in structured steps rather than ad hoc prompts.
Clone the repository, install dependencies, and build the project to produce the server entry point.
Add the shrimp-task-manager entry to your MCP client's configuration with a data directory and template language, then start the client with that config.
Initialise project rules, plan your first task in natural language, and execute tasks one by one or in continuous mode.
Analyses requirements and breaks complex projects into atomic, testable subtasks automatically.
Manages relationships between tasks and tracks status in real time as work proceeds.
Tasks, progress, and history are stored and backed up, so agents keep context despite token limits or new sessions.
A systematic research mode explores technologies, and project rules keep coding standards consistent across tasks.
Different AI agents can be assigned to specific tasks, with reflection steps to review and improve completed work.
A React task viewer with drag-and-drop and search, plus a lightweight web GUI enabled through configuration.
Node.js 18 or newer is required.
git clone https://github.com/cjo4m06/mcp-shrimp-task-manager.git
cd mcp-shrimp-task-manager
npm install && npm run buildAdd the server to a .mcp.json in your project with your data directory, as shown in the README.
# .mcp.json: command "node", args ["/path/to/mcp-shrimp-task-manager/dist/index.js"], env DATA_DIR, TEMPLATES_USE=en, ENABLE_GUI=falseLaunch your client with the config and use the natural-language commands.
claude --mcp-config .mcp.json
# then ask: plan task: implement user authenticationIt was created by cjo4m06 and is maintained with community contributions on GitHub.
Yes, it is MIT-licensed and free; you use it through your existing MCP client and its model access.
Shrimp itself needs no API key; the AI client you connect it to (such as Claude Code) uses your own account or key.
A plain to-do list records tasks; Shrimp is an MCP server that actively plans, decomposes, orders by dependency, and reflects on tasks inside the agent's workflow.
Clone the repo, npm install, npm run build, add the server entry to your client's MCP config, and ask it to plan a task.
Turn messy documents into clean, structured data for language models.
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.