shrimp-task-manager-lds-http
Shrimp Task Manager guides AI agents through structured task planning, analysis, execution, verification, and persistent project task management via MCP.
What it can do
- Plan Task: When you need to plan tasks or construct complex features, you can use this tool to receive task planning guidance. You are expected to strictly follow the step-by-step instructions provide
- Analyze Task: Deeply analyze task requirements and systematically examine the codebase, assess technical feasibility and potential risks, if code needs to be provided use pseudocode format and only pr
- Reflect Task: Critically review analysis results, assess solution completeness and identify optimization opportunities, ensure solutions conform to best practices, if code needs to be provided use pse
What data it sees
Do you need an account
No: the server works without sign-in
Shrimp Task Manager guides AI agents through structured task planning, analysis, execution, verification, and persistent project task management via MCP.
How to connect
How to connect shrimp-task-manager-lds-http to Claude
The server address to paste into Claude settings:
https://shrimp-task-manager-lds-http--ldsphm24.run.tools
- Open Claude (claude.ai or the desktop app).
- Go to Settings → Connectors.
- Click Add custom connector.
- Paste the server address copied below into Remote MCP server URL and click Add.
- In a chat, click + → Connectors and switch the new connector on.
Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.
Authorization
After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.
How to connect shrimp-task-manager-lds-http to ChatGPT
The server address to paste into ChatGPT settings:
https://shrimp-task-manager-lds-http--ldsphm24.run.tools
- Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
- Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
- Open Settings → Connectors and click Create.
- Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
- Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
- In a new chat open + → Apps/Connectors and enable the connector.
OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.
Authorization
On first use ChatGPT opens the service's sign-in window. Sign in and approve access.
How to connect shrimp-task-manager-lds-http to Cursor
The server address to paste into Cursor settings:
https://shrimp-task-manager-lds-http--ldsphm24.run.tools
Fastest: click Open in Cursor below and confirm the prompt.
Manually:
- In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
- Paste the JSON copied below into
~/.cursor/mcp.json(per project:.cursor/mcp.jsonin the repo root). - Save the file. The server appears in the MCP list; authorize it there if asked.
Authorization
If the service needs sign-in, an authorize button appears next to the server in the MCP list.
Server tool list (15)
Raw names from tools/list. Only developers need these.
| plan_task | When you need to plan tasks or construct complex features, you can use this tool to receive task planning guidance. You are expected to strictly follow the step-by-step instructions provided by the tool when organizing your tasks. You may optionally choose to reference existing tasks for extended planning. **Critical Warning**: All forms of `assumptions`, `guesses`, and `imagination` are strictly prohibited. You must use every `available tool` at your disposal to `gather real information`. |
| analyze_task | Deeply analyze task requirements and systematically examine the codebase, assess technical feasibility and potential risks, if code needs to be provided use pseudocode format and only provide high-level logic flow and key steps avoiding complete code |
| reflect_task | Critically review analysis results, assess solution completeness and identify optimization opportunities, ensure solutions conform to best practices, if code needs to be provided use pseudocode format and only provide high-level logic flow and key steps avoiding complete code |
| split_tasks | Break down complex tasks into independent subtasks, establishing dependencies and priorities. ## 1. **Granularity Control (Required Reading)** - ### **Minimum Viable Task** Each subtask should be completable and verifiable by a single developer within **1–2 working days** (approximately 8–16 hours). - ### **Maximum Complexity Limitation** A single subtask should not span multiple technical domains such as **frontend**, **backend**, and **database**. If cross-domain work is required, split it into multiple subtasks. - ### **Recommended Number of Tasks** Avoid splitting into more than **10 subtasks** at once. If more are needed, submit them in prioritized batches (6–8 tasks per batch). - ### **Recommended Task Length** Each split should not exceed **5,000 characters**. If it does, divide and submit in multiple batches. - ### **Depth Limitation** The task tree should not exceed **3 levels**: - **Level 1**: Functional Modules - **Level 2**: Main Processes - **Level 3**: Key Steps ## 2. **Task Splitting Example** - Identify **core functionality points**, and create a subtask for each. - Annotate each subtask with: - **Input/Output** - **Acceptance Criteria** - If needed, provide **pseudocode**: - Only outline high-level logic and key steps. - Avoid providing complete source code. - Check **dependencies** between subtasks and specify them in the `dependencies` field. - If the task involves interface design, always provide a complete and consistent definition, including: - Function/class/schema definitions (including names, parameters, return values) - Data types, usage descriptions, and optional/required status for each item - Error handling methods and expected exception scenarios - Dependency and naming conventions (if any) - Sample data and usage examples This ensures consistency, readability, and development precision between tasks. ## 3. **Dependencies and |
| list_tasks | Generate structured task lists, including complete status tracking, priorities, and dependencies |
| execute_task | Retrieve the instructional guidance for a specific task. You will complete the programming task based on this guidance. You must strictly follow the feedback and instructions provided by the tool — it is designed to **guide you toward perfect task completion, not to execute the task for you**. Severe Warning: Calling the executeTask tool does not mean you have completed the task. You must follow the step-by-step guidance returned by the tool to complete the task properly. |
| verify_task | ## Verify Task Please comprehensively check and score according to the requirements in verificationCriteria, If you are missing or have forgotten the verificationCriteria content, please use `get_task_detail` to obtain it. Please score according to the following rules: ### Verification Standards 1. **Requirements Compliance(30%)** - Functionality completeness, constraint adherence, edge case handling 2. **Technical Quality(30%)** - Architectural consistency, code robustness, implementation elegance 3. **Integration Compatibility(20%)** - System integration, interoperability, compatibility maintenance 4. **Performance Scalability(20%)** - Performance optimization, load adaptability, resource management ### score Parameter Guidelines Provide overall score and rating, assessment of each standard, issues and suggestions, and final conclusion. **Must use the following format to provide scoring results (for system parsing):** ```Scoring score: [number from 0-100] ``` ### summary Parameter Guidelines If the score is equal to or greater than 80 points, please provide a task summary ``` summary: 'Task completion summary, concise description of implementation results and important decisions' ``` If the score is less than 80 points, please provide correction suggestions ``` summary: 'List task issues and correction suggestions' ``` |
| delete_task | Delete incomplete tasks, but does not allow deleting completed tasks, ensuring the integrity of system records |
| clear_all_tasks | Clear incomplete tasks and reset the task list. This is a destructive operation that requires confirmation. Completed tasks will be backed up before clearing. |
| update_task | Update task content, including name, description and notes, dependent tasks, related files, implementation guide, and verification criteria, completed tasks only allow updating summary and related files |
| query_task | Search for tasks based on keywords or ID, display abbreviated task information |
| get_task_detail | Retrieve complete detailed information of a task based on task ID, including untruncated implementation guides and verification criteria |
| process_thought | Conduct flexible and evolvable thinking processes, progressively deepen understanding and generate effective solutions through establishing, questioning, verifying, and correcting ideas. When encountering situations requiring data collection, analysis, or research, prioritize reviewing project-related code; if relevant code does not exist, query the web rather than speculate. Set nextThoughtNeeded to false when thinking is sufficient, otherwise adjust total_thoughts to extend the process |
| init_project_rules | Initialize project standards, call this tool when the user requests to generate or initialize a project standards document, also call this tool if the user requests to change or update project standards |
| research_mode | When you need to conduct in-depth research on programming-related topics, you can use this tool to enter a specialized research mode. This tool will guide you on how to use web search and code search tools to systematically research technical topics, ensuring research depth and breadth while avoiding topic deviation. Suitable for technical research, best practice exploration, solution comparison, and other scenarios. |