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PopNx MCPMCP servers for people who use AI · explained in plain words

Cpm Planner

by praxecversion 0.8.0i★ 0iRuns on your computer
Registry nameio.github.praxec/cpm-planner

How to install

What it does

Critical Path Method scheduling and lock-aware parallel cohorts for MCP agents.

  • Connects Runs on your computer
  • Account or key No key needed
  • Category Docs, sheets & office work

Install

Pick the AI app you use, then copy the settings.

Passed 3/3 checks · Runs on your computer · ✓ Commands checked Nov 14, 2026

First: which AI do you use?

Pick your app and the steps appear below.

Works with Claude, with some setup first

Install Docker on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone

  1. Install Docker

    One time only; it works for every server that needs Docker

    Open the Docker download page ↗

  2. Open the Claude desktop app’s settings file

    SettingsDeveloperEdit Config

  3. Paste these settings and save the file

    {
      "mcpServers": {
        "cpm-planner": {
          "command": "docker",
          "args": [
            "run",
            "-i",
            "--rm",
            "ghcr.io/praxec/cpm-planner:0.8.0"
          ]
        }
      }
    }
  4. Quit Claude and open it again

  5. Try it

    Use Cpm Planner and tell me what you can do for me, then show me one thing

    ✓ If Claude says it is using Cpm Planner or shows a Cpm Planner tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

ChatGPT cannot connect Cpm Planner yet

Cpm Planner runs on your computer, but ChatGPT can only connect servers that run on the web

What you can do instead

A · Use an app that can connect Cpm Planner

  • Install Docker on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
  • Install Docker on your computer first (one time)
  • Install Docker on your computer first (one time)
  • Install Docker on your computer first (one time)

B · Others in Docs, sheets & office work that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Works with Claude Code, with some setup first

Install Docker on your computer first (one time)

  1. Install Docker

    One time only; it works for every server that needs Docker

    Open the Docker download page ↗

  2. Open Terminal

    Mac: press Command+Space and type Terminal · Windows: open PowerShell

  3. Paste this command and press Enter

    claude mcp add --scope user cpm-planner -- docker run -i --rm ghcr.io/praxec/cpm-planner:0.8.0
  4. Type /mcp in Claude Code

    You should see Cpm Planner listed as connected

  5. Try it

    Use Cpm Planner and tell me what you can do for me, then show me one thing

    ✓ If Claude Code says it is using Cpm Planner or shows a Cpm Planner tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor, with some setup first

Install Docker on your computer first (one time)

  1. Install Docker

    One time only; it works for every server that needs Docker

    Open the Docker download page ↗

  2. Click this button to open Cursor

    Open in Cursor

    Cursor asks you to confirm; click Install

  3. Open the AI chat in Cursor in Agent mode

  4. Try it

    Use Cpm Planner and tell me what you can do for me, then show me one thing

    ✓ If Cursor says it is using Cpm Planner or shows a Cpm Planner tool in the answer, you are connected

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code, with some setup first

Install Docker on your computer first (one time)

  1. Install Docker

    One time only; it works for every server that needs Docker

    Open the Docker download page ↗

  2. Click this button to open VS Code

    Open in VS Code

    VS Code asks you to confirm; click Install

  3. Open the AI chat in VS Code in Agent mode

  4. Try it

    Use Cpm Planner and tell me what you can do for me, then show me one thing

    ✓ If VS Code says it is using Cpm Planner or shows a Cpm Planner tool in the answer, you are connected

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use Cpm Planner💬 Discussion →
For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add --scope user cpm-planner -- docker run -i --rm ghcr.io/praxec/cpm-planner:0.8.0

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "cpm-planner": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/praxec/cpm-planner:0.8.0"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "cpm-planner": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/praxec/cpm-planner:0.8.0"
      ]
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "cpm-planner": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/praxec/cpm-planner:0.8.0"
      ]
    }
  }
}

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

Downloads per weeki
Not on npm/PyPI
Licencei
Apache-2.0
Connection
Runs on your computer
Latest versioni
0.8.0
Published to registryi
Nov 14, 2026
Code last changedi
Nov 12, 2026
Maker
praxec
Packages
oci: ghcr.io/praxec/cpm-planner:0.8.0
Registry status
Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

All apps, with pros and cons →

Related guides

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 14, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account praxec, which owns the repo

  • ✓ Pass

    Still maintained

    Code last changed 2 days ago

  • ✓ Pass

    Has a licence

    Uses Apache-2.0

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

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User reviews

No reviews yet

Sign in with Google to write a review

Compared with others in Docs, sheets & office worki

  • More stars than 0% of the other 3891 servers in this category
  • Published to the registry more recently than 98% of the other 3891 servers in this category
  • Basic checks equal to or better than 100% of the other 3891 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Cpm Planner safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed 2 days ago, and the latest version (0.8.0) reached the registry today.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.

What can I use instead?

In the same category: Puter MCP, XcodeBuildMCP, XcodeBuildMCP

Others in the same category

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Puter MCP

Puter MCP enables AI tools to interact with Puter: manage files, websites, workers, and more

by HeyPuterWidely used★ 44.2KUpdated 5 months ago

Runs in the cloud✓ service owner · puter.com

XcodeBuildMCP

XcodeBuildMCP provides tools for Xcode project management, simulator management, and app utilities.

by getsentryWidely used↓ 130.5K/wk shared package★ 6.6KUpdated 4 months ago

Runs on your computer✓ service owner · xcodebuildmcp.com

XcodeBuildMCP

XcodeBuildMCP provides tools for Xcode project management, simulator management, and app utilities.

by cameroncookeWidely used↓ 130.5K/wk shared package★ 6.6KUpdated 14 months ago

Runs on your computer

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

cpm-planner

cpm-planner is a Critical Path Method (CPM) planner for agent work, exposed as an MCP server. You submit a task graph and it computes the schedule: earliest and latest start and finish, slack, the critical path and the bottleneck tasks that gate completion. It then leases lock-aware cohorts of ready deliverables with disjoint file sets, so several workers can run in parallel without colliding. Plans can live in the repository as plan-as-code files with forkable, comparable variants; read-only tools lint, level against resource capacities and run Monte Carlo risk; earned-value tools track PV, EV, AC, SPI and CPI against a frozen baseline; and an optional AI review proposes verified schedule improvements. Any MCP client (Claude Code, Cursor, VS Code, Codex, a custom orchestrator, or a praxec workflow) drives it over stdio. It is a standalone tool with no dependency on praxec.

Contents

  • Install
  • Prebuilt binary (recommended)
  • Pin a version
  • npm
  • From source
  • Docker
  • Verify the install
  • Quickstart: plan as code
  • Quickstart: earned value
  • Use with AI agents
  • MCP tools
  • Plan-as-code workflow
  • Plan review (optional)
  • Use as a library
  • Praxec
  • Environment variables
  • Documentation
  • Contributing
  • License

Install

Prebuilt binary (recommended)

Prebuilt packages are published for Linux, macOS and Windows on x86_64 and ARM64.

The installers resolve your OS and CPU and download the matching archive. They verify its SHA-256 against the release's `checksums.sha256` before installing, then atomically replace the binary in a user-local directory. A checksum mismatch aborts with a non-zero exit and installs nothing. Re-running the installer upgrades in place.

# Linux / macOS  ->  ~/.local/bin/cpm-planner

curl -fsSL https://github.com/praxec/cpm-planner/releases/latest/download/install.sh | sh

Windows (PowerShell) -> %LOCALAPPDATA%\Programs\cpm-planner\cpm-planner.exe

irm https://github.com/praxec/cpm-planner/releases/latest/download/install.ps1 | iex

The installer prints the absolute path it installed to. Use that path when you register the server with a GUI client.

Installer details: inspecting the script, PATH, upgrades and direct downloads

If you would rather read the script before running it, download, inspect, then run (see Pin a version for ):

# Linux / macOS

curl -fsSLO https://github.com/praxec/cpm-planner/releases/latest/download/install.sh less install.sh sh install.sh --version

# Windows

irm https://github.com/praxec/cpm-planner/releases/latest/download/install.ps1 -OutFile install.ps1 Get-Content install.ps1 .\install.ps1 -Version

PATH. If the install directory is not on your PATH, the installer prints the exact line to add. Pass --add-to-path (-AddToPath on Windows) to have it do that for you, user-level only and never with sudo.

On Linux and macOS it appends the line only if it is not already there, to:

  • ~/.zshrc for zsh;
  • ~/.bash_profile if it exists, else ~/.bashrc, for bash;
  • ~/.profile for other shells.

For fish it prints fish_add_path for you to run instead of writing a file.

Downloads. The installers only accept https:// download URLs.

Upgrades. After upgrading, restart your MCP client so it launches the new binary. On Windows the old exe is renamed to cpm-planner.exe.old and removed on the next run.

Direct downloads. You can also download an archive yourself and check it against checksums.sha256; a machine-readable release-manifest.json is published too. All assets are at https://github.com/praxec/cpm-planner/releases/latest.

PlatformAsset
Linux x86_64cpm-planner-x86_64-unknown-linux-gnu.tar.gz
Linux ARM64cpm-planner-aarch64-unknown-linux-gnu.tar.gz
macOS x86_64cpm-planner-x86_64-apple-darwin.tar.gz
macOS Apple Siliconcpm-planner-aarch64-apple-darwin.tar.gz
Windows x86_64cpm-planner-x86_64-pc-windows-msvc.zip
Windows ARM64cpm-planner-aarch64-pc-windows-msvc.zip
Pin a version

In the commands in this README, is a release tag such as v0.2.0. Pick one from the releases page.

# Linux / macOS

curl -fsSL https://github.com/praxec/cpm-planner/releases/latest/download/install.sh | sh -s -- --version

Windows (PowerShell): the piped form cannot take parameters, so use the environment variable...

$env:PRAXEC_VERSION = ' '; irm https://github.com/praxec/cpm-planner/releases/latest/download/install.ps1 | iex

...or a script block

& ([scriptblock]::Create((irm https://github.com/praxec/cpm-planner/releases/latest/download/install.ps1))) -Version

npm

With Node 18 or later, install the cpm-planner command from npm:

npm install -g @matthew-cochran/cpm

cpm-planner --version

The package is a small launcher. It downloads the release binary for your platform, verifies its checksum and caches it, during install or, where npm skips install scripts, on first run. The package version is the release version, so npm install -g @matthew-cochran/cpm@0.2.0 pins one. To run it without installing, use npx -y @matthew-cochran/cpm. For details and environment variables, see npm/README.md.

From source

Build and install a tagged release with Cargo (Rust 1.99 or newer):

cargo install --git https://github.com/praxec/cpm-planner --tag <version> --locked

The crates.io listing lags behind the GitHub releases until the next cargo publish, so cargo install cpm-planner does not give you the current version yet. Install from the tag as above.

Docker
docker pull ghcr.io/praxec/cpm-planner

docker run -i --rm -v cpm-planner-data:/data ghcr.io/praxec/cpm-planner

-i keeps stdin open for the stdio transport.

The image sets CPM_PLANNER_DB=/data/cpm-planner.db and declares /data as a volume owned by the unprivileged app user, so a named volume persists plan state across runs. For a bind mount (-v "$PWD:/data"), run as yourself so the directory is writable: --user "$(id -u):$(id -g)". Pass -e CPM_PLANNER_DB=... only to override the path.

To register the image with a client, put docker in command and the rest in args. For example, in Claude Code:

claude mcp add cpm-planner --scope user -- docker run -i --rm -v cpm-planner-data:/data ghcr.io/praxec/cpm-planner
Verify the install
cpm-planner --version

It prints cpm-planner . To check the MCP side without a client, run the smoke script from the repository. It performs the MCP initialize and tools/list handshake and fails if plan.submit, plan.status or plan.get is missing:

node scripts/mcp-smoke.mjs /absolute/path/to/cpm-planner

Quickstart: plan as code

Write a plan as .cpm-planner/plans/ / .json (a PlanGraph):

  1. plan.lint {path: ".cpm-planner/plans/checkout/main.json"} — static checks, no state written.
  2. plan.sync {path: ".cpm-planner/plans/checkout/main.json"} — register the variant and return its plan_id.
  3. plan.status {plan_id} — schedule, critical path, ready set and locks.

plan.sync tracks the file by content hash; plan.status reports definition_drift when the tracked file and the stored head graph disagree.

Quickstart: earned value

Freeze the baseline, record progress, then read the report (earned_pct is earned in proportion under earning_rule: "weighted"; fifty_fifty credits 50% once a deliverable is in progress or has any reported earned_pct, and the default zero_hundred earns at completion):

  1. plan.baseline {plan_id} — freeze the CPM schedule and budgets as baseline 1.
  2. plan.mark_status {plan_id, deliverable_id, caller_id, status: {"status": "in_progress"}, earned_pct: 50, actual_effort_hours: 4} — report progress and actual cost.
  3. plan.ev {plan_id} — PV, EV, AC, SV, CV, SPI, CPI, EAC and alerts.
  4. plan.snapshot {plan_id, format: "markdown"} — append the reading and export a Markdown table.

A ratio with a zero denominator is null and explained in undefined; alerts (SPI_BELOW_0_9, CPI_BELOW_0_9) compare the two latest stored readings.

Use with AI agents

Any MCP client can run cpm-planner over stdio: register the cpm-planner binary as the command, or, with Node 18 or later, npx -y @matthew-cochran/cpm. For a GUI client, use the absolute path the installer printed.

Install the agent skills (/cpm-plan and friends) with cpm-planner skills install --target --user (or --project ), where is claude, codex, cursor, copilot, gemini, all, or agents-md (project only).

docs/AGENT-INSTALL.md has the per-client steps (Claude Code, Claude Desktop, Codex, Cursor, VS Code, Gemini CLI and others), env blocks, verification and troubleshooting. llms.txt indexes the docs for LLMs.

MCP tools

ToolDoes
plan.submitSubmit a task graph; returns a plan id (idempotent on the graph + caller). A prerequisite is a deliverable id string or an object `{id, consumes?, kind?: artifact\interface, lag_hours?}; both forms round-trip through plan.get. A deliverable may set milestone: true (an acceptance point, zero-length unless given an estimate or duration, reported in plan.status milestones). An optional earning_rule (zero_hundred, the default: 100% only when complete; fifty_fifty: 50% once in progress or any earned_pct is reported; weighted: the reported earned_pct) sets how earned value credits partial progress and is part of the plan's identity. A deliverable's optional duration_hours (calendar time) replaces effort as its scheduled length and a prerequisite's lag_hours delays the dependent's start; effort stays the cost basis. An optional estimate {optimistic, likely, pessimistic} (0 <= optimistic <= likely <= pessimistic) is a three-point effort estimate. Scheduled-length precedence: duration_hours > estimated_effort_hours > estimate.likely > 0 for a milestone > the estimator default; Monte Carlo samples the estimate only when neither duration_hours nor estimated_effort_hours is set. Limits: at most 5000 deliverables, and every hour value (effort, duration, lag, estimate) finite and between 0 and 1000000 (INVALID_GRAPH). With name (optional project/variant, variant defaults to main`) it registers a named variant instead of an unnamed plan.

| plan.acquire_cohort | Atomically acquire up to N ready deliverables with mutually disjoint file sets (an owned_files entry may be {path, mode: "append"}; append claims on one path may be co-leased and appear in shared_paths; a file may be owned by several deliverables only if they are ordered by prerequisites, or all claims are append); optional ttl_seconds sets the lease TTL (clamped to the server maximum); optional ids and filter.metadata target deliverables; metadata.kind = "manual" deliverables are never leased; th

Only the beginning is shown; read the rest in the repo