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Dingdawg Planning Agent MCP Server

local only

Dingdawg Planning Agent runs on your own machine — the client starts it, so there is no endpoint to ping. 45 installs a week from npm. Last commit 5 Aug 2026.

Planning AI. Sprint estimation, task breakdown, risk analysis. Learns your velocity.

Installs per day peak 15 · avg 4 · +19% w/w
a month agotoday
45
Installs / week
npm · dingdawg-planning-agent
1
Stars
0 open issues
5 Aug 2026
Last commit
no releases in 90 days
MIT
License
Python

What the code does

We read the source, 4 d ago · rules 995398eba69f

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

Package points at a different repository dingdawg/dingdawg-agent-1
пакет dingdawg-planning-agent ссылается на dingdawg/dingdawg-planning-agent

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add dingdawg-planning-agent -- npx -y dingdawg-planning-agent
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "dingdawg-planning-agent": {
      "command": "npx",
      "args": [
        "-y",
        "dingdawg-planning-agent"
      ]
    }
  }
}
~/.codex/config.toml
[mcp_servers.dingdawg-planning-agent]
command = "npx"
args = ["-y", "dingdawg-planning-agent"]
.cursor/mcp.json
{
  "mcpServers": {
    "dingdawg-planning-agent": {
      "command": "npx",
      "args": [
        "-y",
        "dingdawg-planning-agent"
      ]
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "dingdawg-planning-agent": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "dingdawg-planning-agent"
      ]
    }
  }
}

Optional settings from the registry entry, left out of the block above: DINGDAWG_API_KEY (API key for paid tier access — get free at dingdawg.com).

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Dingdawg Planning Agent — questions

Answers built from our own checks of this server.

Why is there no uptime for Dingdawg Planning Agent?
Dingdawg Planning Agent runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the npm package dingdawg-planning-agent was installed 45 times last week.
How do I connect Dingdawg Planning Agent?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls dingdawg-planning-agent straight from npm; nothing to host, nothing to sign up for.
How many people use Dingdawg Planning Agent?
The npm package dingdawg-planning-agent was installed 45 times in the last week. Week over week that is +19%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Dingdawg Planning Agent open source?
Yes — it is published under the MIT licence, written in Python and 1 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.