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Health: ActiveRecent health check succeeded.Last checked 10/4/2026, 7:31:34 AM

Powerplan

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planningagent-workflowsdeveloper-toolsstdio

Manages PLAN.md through MCP tools for agent-readable progress, scoped task updates, iteration lifecycle, and plan validation.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "powerplan": {
      "command": "uvx",
      "args": [
        "powerplan-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (10) Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Overview

The powerplan MCP server exposes PLAN.md as a structured workspace for coordinating agentic development. It reads scoped iterations and progress, then applies controlled mutations such as adding tasks, completing work, and changing lifecycle state. Use it when agents need shared plan state without repeatedly dumping or manually editing the entire file. It runs as a stdio process through uvx, pip, or a Python checkout.

Use cases

β€’Inspect the active iteration at the start of an agent session
β€’Update shared tasks without manually editing PLAN.md
β€’Track work across multiple agent identities
β€’Validate PLAN.md structure before handing off work
β€’Navigate backlog and iteration progress without full-file reads

Key features

β€’Scoped PLAN.md iteration and progress queries
β€’Surgical task and iteration mutations
β€’Batch task completion and addition
β€’Iteration lifecycle management
β€’Plan structure linting
β€’Optional agent attribution tags

Capabilities & Tool Schemas (10) ~164 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Powerplan.

create_plan

Bootstrap `./PLAN.md` (or `plan_path`) when missing; `force` to overwrite

show_miniplan

Session opener** β€” raw PLAN.md snippet: the current (or named) iteration byte-for-byte, neighbours collapsed to header lines (`before`/`after`)

get_current_iteration

Preferred for agents** β€” scoped JSON for current work

get_iteration

JSON for one version (tasks, progress)

list_iterations

Navigate without full-file reads

create_major

Surgical mutations (batch add in one write)

How Powerplan works

What powerplan does

The powerplan MCP server turns a project’s PLAN.md into an MCP-accessible planning interface. It is intended for coordinator and worker agents that need to inspect current work, update tasks, and keep iteration status consistent while avoiding unrestricted file edits.

The managed format recognizes major versions such as ## vX.Y β€” Title, iterations such as ### vX.Y.Z β€” Title, a goal line, checkbox tasks, and a backlog section. Other phase-like headings and prose are preserved as opaque content. The server can also add optional trailing [agent: id] markers to lines changed by mutations.

Use it when PLAN.md is the shared operational record for a project or agent group. It can be paired with PowerSpawn, although the README specifies that the two MCP servers remain separately registered and do not merge.

How it works

The server communicates over MCP using stdio. By default, tools walk upward from the current working directory to find the nearest PLAN.md. Each tool also accepts an optional relative or absolute plan_path, allowing callers to select a different file.

A typical agent session starts with show_miniplan, which returns the active or selected iteration byte-for-byte while reducing neighboring iterations to header lines. get_current_iteration provides the preferred scoped JSON representation for agents, and get_iteration returns tasks and progress for one version. Navigation tools such as list_iterations, find_task, and get_backlog avoid requiring a full-file read.

Mutations are performed through dedicated operations rather than freeform file replacement. The server writes changes surgically and can batch task additions or completions. check_plan checks plan structure, while show_plan and show_current_iteration provide compact human-oriented views.

Setup and configuration

Install with uv and run the stdio server using:

bash
uvx powerplan-mcp

The package requires uv, which provides uvx, or Python 3.10 or newer. Without uv, install the PyPI package with pip install powerplan-mcp, then launch it with python -m powerplan.

Clients can register the process with the powerplan-mcp command and pass PYTHONIOENCODING=utf-8 and PYTHONUNBUFFERED=1 in the environment, as shown in the README examples. Explicit configurations are provided for Claude Code, Cursor, Claude Desktop, and Grok. A source checkout can be installed in editable mode with pip install -e ".[dev]", run with python -m powerplan, or started directly through powerplan_server.py.

Tools and capabilities

The powerplan MCP server includes tools for:

  • Creating PLAN.md when it is absent, with an optional overwrite force.
  • Showing the current or named iteration in compact raw or JSON forms.
  • Listing iterations, locating tasks, and retrieving backlog content.
  • Creating majors or iterations and adding one or multiple tasks.
  • Completing, reopening, removing, or deferring one or multiple tasks.
  • Starting and closing iterations to represent ACTIVE/current and COMPLETE states.
  • Checking plan structure and producing compact plan summaries.

complete_task accepts indexes or task selections, and task mutations can include an agent identifier. If a tool reports that PLAN.md is missing, create the file first with create_plan.

Limitations and notes

The server is focused on PLAN.md rather than general project-file editing. show_miniplan is designed as a session opener, and show_plan is a compact human skim; neither is described as a complete file dump. The README also advises agents not to read all of PLAN.md just to determine their next action.

The default path behavior depends on the process working directory, so callers operating outside the project tree should pass plan_path. A force-enabled create_plan can overwrite an existing plan, so it should be used deliberately. The published package name is powerplan-mcp; powerplan on PyPI refers to an unrelated package.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

Last commit
20d ago
Most recent push to the default branch.
Tools exposed
10
Callable tools this server registers over MCP.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Powerplan

powerplan is an MCP server that connects AI agents to a project’s PLAN.md file. Its main tools create or inspect plans, return current or selected iterations, list tasks, mutate task status, manage iteration lifecycle, and check plan structure through a stdio MCP process.

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
LicenseMIT
ClientsClaude Code, Cursor, Claude Desktop
Last updatedOct 8, 2026
6/6 checks healthy over the last 40d
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit20d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 19, 2026
51Quality signal: Good Β· 51/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools24/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 4d ago via OSV.dev Β· powerplan-mcp (PyPI)

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