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Shrimp Task Manager MCP Server

MCP server for AI-assisted development task planning, decomposition, dependency tracking, execution workflow state, reflection, and research mode.

by cjo4m06 · submitted by oktofeesh1·added 2026-06-05·
Review first review before installing

Open the source and read safety notes before installing.

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Source URLs
https://cjo4m06.github.io/mcp-shrimp-task-manager/, https://github.com/cjo4m06/mcp-shrimp-task-manager
Brand
Shrimp Task Manager
Brand domain
github.com
Safety notes
Shrimp Task Manager persists task plans, project rules, research notes, task status, dependencies, and execution history in `DATA_DIR`., Tools such as `execute_task`, `complete_task`, `delete_task`, `clear_all_tasks`, and `update_task` can change workflow state and should be reviewed before treating status as authoritative., Agent-assignment and planning features can make generated work look more complete than it is; require human review before accepting implementation progress., The optional GUI starts a web interface when enabled; keep it local or protect it with appropriate network controls., Avoid launching development agents with broad permission-bypass flags solely because an example command suggests it.
Privacy notes
Task descriptions, project rules, research notes, dependency graphs, agent assignments, prompts, and execution history may include private implementation details., Persisted task data and backups can reveal roadmap items, security work, customer requests, or internal architecture decisions., Tool arguments and task records may be visible to the MCP client and model provider during planning and execution., Review `DATA_DIR` before committing, sharing, archiving, or uploading generated task state.
Author
cjo4m06
Submitted by
oktofeesh1
Claim status
unclaimed
Last verified
2026-06-05

Decision playbook

Review trust signals before you adopt

Signals are present but mixed. Use the checklist below to confirm the source and operational safety for your environment.

Compare context
Selected

0

Current score

63

Baseline

Delta

No baseline selected

No major trust-signal divergence detected in the current selection.

Source and provenance checks

Needs review

Confirm ownership and provenance before trusting install instructions.

  • Source link availableRequired

    Open the canonical repository and verify ownership.

    Done
  • Source provenance statusRequired

    Marked as source-backed.

    Done
  • Metadata reviewed

    No reviewed flag detected in metadata.

    Pending

Safety and privacy checks

Complete

Validate risk disclosures before installation or API wiring.

  • Safety notes presentRequired

    Review the listed safety guidance before running commands.

    Done
  • Privacy notes presentRequired

    Review data handling notes before connecting accounts or secrets.

    Done
  • Trust level risk gateRequired

    Trust level does not block evaluation.

    Done

Package and install checks

Needs review

Check package metadata and artifact integrity signals.

  • Install payload available

    Install or copy payload is available for review.

    Done
  • Package verification flag

    No package verification flag provided.

    Pending
  • Checksum metadata

    No checksum provided for downloaded artifact.

    Pending

Compare-driven decision checks

Needs review

Use compare context to validate trade-offs before adoption.

  • Compare tray has multiple entries

    Add at least one more entry to compare trust differences.

    Pending
  • Baseline comparison available

    No baseline peer selected yet.

    Pending
  • Diverging trust signals identified

    No major trust-signal divergence found.

    Pending

Setup at a glance

CLI install

Copy-ready — paste the snippet to get started.

15 minutes

Adoption plan

Balanced adoption plan

Current risk score 24/100. Use staged verification before broader rollout.

Risk 24

Pre-adoption checks

Validate source and review signals before any execution.

  • Confirm source provenanceRequired

    Source URL/provenance metadata is present.

    Done
  • Confirm metadata review state

    No review metadata found; increase manual validation.

    Pending
  • Verify install payload

    Install/config payload exists and can be inspected.

    Done

Security checks

Confirm safety, privacy, and package integrity signals.

  • Review safety notesRequired

    Safety notes are present.

    Done
  • Review privacy notesRequired

    Privacy notes are present.

    Done
  • Verify package integrity metadata

    No package verification/checksum metadata.

    Pending

Rollout

Adopt in controlled steps based on the selected plan.

  • Run in isolated sandbox firstRequired

    Use a constrained sandbox and observe behavior across multiple tasks.

    Pending
  • Roll out graduallyRequired

    Roll out to a small cohort before wider usage.

    Pending
  • Set monitoring and fallback

    Define rollback path and monitor errors after adoption.

    Pending

Evidence readiness

Evidence readiness matrix · balanced

Missing required evidence: Metadata review. Risk score 31.

Risk 31

Source provenance

Present

Source repository/provenance is listed.

Required in this preset

Metadata review

Missing

Review metadata is missing.

Required in this preset

Safety notes

Present

Safety notes are present.

Required in this preset

Privacy notes

Present

Privacy notes are present.

Optional in this preset

Package integrity

Missing

Package integrity metadata is missing.

Optional in this preset

Install payload

Present

Install payload is available.

Required in this preset

Required gaps: Metadata review

Decision timeline

Decision timeline · balanced

Blocking gaps: Check metadata review status. Risk 28.

Risk 28

triage

Confirm source provenanceRequired

Source/provenance metadata is available.

Done

triage

Check metadata review statusRequired

Review metadata is missing.

Pending

verify

Review safety notesRequired

Safety notes are available.

Done

verify

Review privacy notes

Privacy notes are available.

Done

verify

Validate package integrity metadata

Package integrity metadata is missing.

Pending

rollout

Verify install payload and commandsRequired

Install payload is available.

Done

Blockers: Check metadata review status

Prerequisite readiness

Prerequisite readiness

5 prerequisites to line up before setup. Includes a review or approval gate.

0/5 ready
Install & runtime2Network & hosting1Review & approval1General115 minutes

Safety & privacy surface

Safety & privacy surface

5 safety and 4 privacy notes across 6 risk areas. Review closely: permissions & scopes, network access, third-party handling.

6 areas
  • SafetyData retentionShrimp Task Manager persists task plans, project rules, research notes, task status, dependencies, and execution history in `DATA_DIR`.
  • SafetyExecution & processesTools such as `execute_task`, `complete_task`, `delete_task`, `clear_all_tasks`, and `update_task` can change workflow state and should be reviewed before treating status as authoritative.
  • SafetyGeneralAgent-assignment and planning features can make generated work look more complete than it is; require human review before accepting implementation progress.
  • SafetyNetwork accessThe optional GUI starts a web interface when enabled; keep it local or protect it with appropriate network controls.
  • SafetyPermissions & scopesAvoid launching development agents with broad permission-bypass flags solely because an example command suggests it.
  • PrivacyExecution & processesTask descriptions, project rules, research notes, dependency graphs, agent assignments, prompts, and execution history may include private implementation details.
  • PrivacyNetwork accessPersisted task data and backups can reveal roadmap items, security work, customer requests, or internal architecture decisions.
  • PrivacyThird-party handlingTool arguments and task records may be visible to the MCP client and model provider during planning and execution.
  • PrivacyNetwork accessReview `DATA_DIR` before committing, sharing, archiving, or uploading generated task state.

Safety notes

  • Shrimp Task Manager persists task plans, project rules, research notes, task status, dependencies, and execution history in `DATA_DIR`.
  • Tools such as `execute_task`, `complete_task`, `delete_task`, `clear_all_tasks`, and `update_task` can change workflow state and should be reviewed before treating status as authoritative.
  • Agent-assignment and planning features can make generated work look more complete than it is; require human review before accepting implementation progress.
  • The optional GUI starts a web interface when enabled; keep it local or protect it with appropriate network controls.
  • Avoid launching development agents with broad permission-bypass flags solely because an example command suggests it.

Privacy notes

  • Task descriptions, project rules, research notes, dependency graphs, agent assignments, prompts, and execution history may include private implementation details.
  • Persisted task data and backups can reveal roadmap items, security work, customer requests, or internal architecture decisions.
  • Tool arguments and task records may be visible to the MCP client and model provider during planning and execution.
  • Review `DATA_DIR` before committing, sharing, archiving, or uploading generated task state.

Prerequisites

  • Node.js 18 or newer and npm available to the MCP client runtime.
  • A cloned, installed, and built checkout of `mcp-shrimp-task-manager`, or an installed package that exposes the built server.
  • A writable `DATA_DIR` for persistent task data and backups.
  • Agreement on how generated plans, task status, agent assignments, and research notes should be reviewed.
  • Optional GUI dependencies and network controls if `ENABLE_GUI` is enabled.

Schema details

Install type
cli
Troubleshooting
No
Source repository stats
Scope
Source repo
Collection metadata
Estimated setup
15 minutes
Difficulty
intermediate
Full copyable content
{
  "mcpServers": {
    "shrimp-task-manager": {
      "command": "node",
      "args": ["PATH_TO_SHRIMP_TASK_MANAGER/dist/index.js"],
      "env": {
        "DATA_DIR": "WRITABLE_SHRIMP_DATA_DIR",
        "TEMPLATES_USE": "en",
        "ENABLE_GUI": "false"
      }
    }
  }
}

About this resource

Content

Shrimp Task Manager is an MCP server for structuring AI-assisted development work into persistent tasks. It exposes tools for planning work, analyzing requirements, splitting complex tasks, listing and querying task state, executing a selected task, verifying completion, reflecting on approach, recording research, and initializing project rules.

The project is implemented as a Node.js MCP server. It stores task state in a configured data directory and can optionally start a web GUI for task viewing.

Source Review

These sources were reviewed on 2026-06-05. Prefer the live repository, README, package metadata, tools documentation, agent documentation, server source, license, NPM registry metadata, and generated docs site for current installation commands, environment variables, supported tools, and GUI behavior.

Features

  • Plan development tasks from natural-language descriptions.
  • Analyze task requirements before implementation.
  • Split complex tasks into smaller subtasks with dependencies.
  • List, query, update, delete, and inspect task records.
  • Execute and verify tasks through a structured workflow.
  • Reflect on a task approach before continuing.
  • Store persistent task history in a configured data directory.
  • Initialize project rules and enter research mode.
  • Assign specialized agent profiles to tasks.
  • Optionally run a web task viewer or GUI for visual status review.

Installation

Install dependencies, build the server, and configure a writable data directory following the upstream README:

npm install
npm run build

Then connect the built server to Claude or another MCP client:

{
  "mcpServers": {
    "shrimp-task-manager": {
      "command": "node",
      "args": ["PATH_TO_SHRIMP_TASK_MANAGER/dist/index.js"],
      "env": {
        "DATA_DIR": "WRITABLE_SHRIMP_DATA_DIR",
        "TEMPLATES_USE": "en",
        "ENABLE_GUI": "false"
      }
    }
  }
}

Start with project rules and a small planning task before using continuous execution patterns.

Use Cases

  • Break a large development request into dependency-aware implementation tasks.
  • Keep task state available across model-context resets or new sessions.
  • Ask Claude to research a technical decision before turning it into a plan.
  • Track which subtasks are pending, in progress, complete, or blocked.
  • Review a generated implementation approach before executing the next task.
  • Assign specialized task personas for frontend, backend, QA, documentation, or security work.

Safety and Privacy

Shrimp Task Manager is most useful when it persists project context, but that means its data directory can become a durable project record. Treat generated tasks, project rules, agent assignments, research notes, and backups as project data that may need review before sharing or committing.

Do not let task status replace human verification. A model can mark tasks complete, update task text, or clear task state through tools, but code, documentation, tests, and product decisions still need normal review. If the GUI is enabled, keep its server on trusted interfaces only.

Duplicate Check

Existing planning entries cover spec and approval workflows, but no cjo4m06/mcp-shrimp-task-manager, Shrimp Task Manager, or matching source URL was found in content/mcp.

Source citations

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How it compares

Shrimp Task Manager MCP Server side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.

Field

MCP server for AI-assisted development task planning, decomposition, dependency tracking, execution workflow state, reflection, and research mode.

Open dossier

MCP server for spec-driven development workflows, requirements, design docs, task breakdowns, approvals, implementation logs, and a real-time dashboard.

Open dossier

MCP server for Todoist task and project management, with tools for tasks, subtasks, projects, sections, labels, comments, reminders, filters, activity, backups, collaboration, bulk operations, and dry-run testing.

Open dossier

MCP server for Trello boards, cards, lists, comments, checklists, attachments, labels, board activity, workspace selection, and rate-limited Trello API automation from Claude.

Open dossier
Next steps
Trust
Review statusNot reviewedNot reviewedNot reviewedNot reviewed
Package trustPackage not verifiedPackage not verifiedPackage not verifiedPackage not verified
Source provenanceSource-backedSource-backedSource-backedSource-backed
Submitteroktofeesh1oktofeesh1oktofeesh1oktofeesh1
Install riskReview firstReview firstReview firstReview first
Notes Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓
BrandTodoist MCP Server logoTodoist MCP ServerTrello MCP Server logoTrello MCP Server
Categorymcpmcpmcpmcp
SourceSource-backedSource-backedSource-backedSource-backed
Authorcjo4m06PimzinogreirsonJarad DeLorenzo
Added2026-06-052026-06-052026-06-062026-06-06
Platforms
Harness
Source repo
Safety notesShrimp Task Manager persists task plans, project rules, research notes, task status, dependencies, and execution history in `DATA_DIR`. Tools such as `execute_task`, `complete_task`, `delete_task`, `clear_all_tasks`, and `update_task` can change workflow state and should be reviewed before treating status as authoritative. Agent-assignment and planning features can make generated work look more complete than it is; require human review before accepting implementation progress. The optional GUI starts a web interface when enabled; keep it local or protect it with appropriate network controls. Avoid launching development agents with broad permission-bypass flags solely because an example command suggests it.Spec Workflow MCP writes requirements, design, task, steering, approval, archive, and implementation-log files under `.spec-workflow`. The dashboard uses a local web server and WebSocket updates; keep it bound to localhost unless you add external authentication, TLS, and network restrictions. The README documents rate limiting, audit logging, security headers, default localhost binding, and CORS restrictions, but also notes that built-in HTTPS/TLS and user authentication are not yet implemented. Task and approval tools can make an agent appear to advance project state; require human review before accepting specs, completing tasks, or using generated implementation prompts. Docker deployment should be reviewed for volume mounts, writable directories, and dashboard exposure before using it in shared environments.Todoist MCP Server can create, update, delete, complete, reopen, reorder, archive, and bulk-modify tasks, subtasks, projects, sections, labels, comments, reminders, filters, shared labels, and collaboration state. Bulk create, bulk update, bulk delete, bulk complete, project deletion, section deletion, label deletion, reminder changes, and duplicate merge operations can alter many Todoist records at once. Dry-run mode simulates mutation operations but still queries real Todoist data for validation. Pro and Business features such as reminders, filters, shared labels, collaboration, backups, and workspace operations may expose or modify team data. Require confirmation before deleting tasks or projects, changing due dates in bulk, completing groups of tasks, modifying shared projects, creating reminders, downloading backups, or changing collaboration state.Trello MCP Server can create, read, update, move, archive, and delete board data depending on token permissions and requested tools. Card, checklist, label, due-date, start-date, comment, attachment, board, list, workspace, and active-board changes can affect real team workflows. File attachments are added from URLs; review source URLs and destination cards before allowing an agent to attach files. Use `TRELLO_ALLOWED_WORKSPACES` to limit workspace access, especially when a token can see personal, client, or production boards. Require confirmation before creating boards, adding attachments, deleting or archiving cards, changing due dates, moving cards between lists, or posting comments on behalf of a user.
Privacy notesTask descriptions, project rules, research notes, dependency graphs, agent assignments, prompts, and execution history may include private implementation details. Persisted task data and backups can reveal roadmap items, security work, customer requests, or internal architecture decisions. Tool arguments and task records may be visible to the MCP client and model provider during planning and execution. Review `DATA_DIR` before committing, sharing, archiving, or uploading generated task state.Requirements, designs, task lists, steering documents, approval comments, implementation logs, filenames, project paths, prompts, and task progress may be visible to the MCP client and model provider. Persistent global state may be stored under `SPEC_WORKFLOW_HOME`, including active project registry, dashboard session data, settings, job history, and migration logs. The `.spec-workflow` directory can contain unreleased product plans, architecture decisions, customer requirements, and implementation details. Review generated specs, logs, approval files, and dashboard screenshots before committing, sharing, or uploading them.Todoist API tokens, task IDs, project IDs, section IDs, label IDs, reminder IDs, comment IDs, user IDs, collaborator details, activity logs, completed tasks, backups, and productivity statistics can be exposed to the MCP client. Task names, descriptions, comments, due dates, deadlines, labels, reminders, attachments, project notes, and completed-task history can contain private work or personal planning data. Bulk and filter tools may reveal larger slices of a Todoist workspace than a single-task request. Backup download tools can expose a broad historical snapshot of Todoist data. Keep Todoist tokens in local MCP configuration only, and avoid sharing MCP logs, dry-run traces, or transcripts that include private task or project data.Trello API keys, tokens, board IDs, workspace IDs, card IDs, member names, labels, comments, checklists, attachments, due dates, and activity logs can be exposed to the MCP client. Active board and workspace selections may persist locally in Trello MCP configuration. Card descriptions, comments, attachments, and activity histories can contain private customer, roadmap, incident, or operational data. Proxy settings, Trello credentials, and workspace allowlists should be kept out of shared MCP configs, logs, screenshots, and transcripts. Response previews reduce some large card-description exposure, but full-card and activity tools can still return sensitive Trello content.
Prerequisites
  • Node.js 18 or newer and npm available to the MCP client runtime.
  • A cloned, installed, and built checkout of `mcp-shrimp-task-manager`, or an installed package that exposes the built server.
  • A writable `DATA_DIR` for persistent task data and backups.
  • Agreement on how generated plans, task status, agent assignments, and research notes should be reviewed.
  • Node.js and npx available to the MCP client runtime.
  • A project workspace you are authorized to organize with generated specs and steering documents.
  • A writable `.spec-workflow` project directory and, for sandboxed runtimes, a writable `SPEC_WORKFLOW_HOME`.
  • Optional dashboard process started separately before using visual approvals or project tracking.
  • Todoist API token from Todoist integrations developer settings.
  • Node.js 18 or newer for the npm stdio server.
  • Review of whether the token has access to personal, shared, Pro, Business, or workspace features.
  • Optional `DRYRUN=true` for simulating mutation tools while still validating against real Todoist data.
  • Trello API key and token with access to the boards and workspaces Claude may use.
  • Bun-compatible published package runtime or an MCP client that can launch the packaged stdio server through npx.
  • Optional `TRELLO_BOARD_ID` or `TRELLO_WORKSPACE_ID` when a default board or workspace should be selected at startup.
  • Optional `TRELLO_ALLOWED_WORKSPACES` to constrain the token to specific approved Trello workspaces.
Install
npm install -g mcp-shrimp-task-manager
claude mcp add spec-workflow npx @pimzino/spec-workflow-mcp@latest -- PROJECT_PATH
npx @greirson/mcp-todoist
npx @delorenj/mcp-server-trello
Config
{
  "mcpServers": {
    "shrimp-task-manager": {
      "command": "node",
      "args": ["PATH_TO_SHRIMP_TASK_MANAGER/dist/index.js"],
      "env": {
        "DATA_DIR": "WRITABLE_SHRIMP_DATA_DIR",
        "TEMPLATES_USE": "en",
        "ENABLE_GUI": "false"
      }
    }
  }
}
{
  "mcpServers": {
    "spec-workflow": {
      "command": "npx",
      "args": ["-y", "@pimzino/spec-workflow-mcp@latest", "PROJECT_PATH"],
      "env": {
        "SPEC_WORKFLOW_HOME": "WRITABLE_SPEC_WORKFLOW_HOME"
      }
    }
  }
}
{
  "mcpServers": {
    "todoist": {
      "command": "npx",
      "args": [
        "@greirson/mcp-todoist"
      ],
      "env": {
        "TODOIST_API_TOKEN": "your-api-token",
        "DRYRUN": "true",
        "TODOIST_UNIFIED_TOOLS": "true"
      },
      "type": "stdio"
    }
  }
}
{
  "mcpServers": {
    "trello": {
      "command": "npx",
      "args": [
        "@delorenj/mcp-server-trello"
      ],
      "env": {
        "TRELLO_API_KEY": "your-api-key",
        "TRELLO_TOKEN": "your-token",
        "TRELLO_ALLOWED_WORKSPACES": "workspace-id-1,workspace-id-2"
      },
      "type": "stdio"
    }
  }
}
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