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Mindpm

by umitkavalaversion 3.2.0i★ –iRuns on your computer
Registry nameio.github.umitkavala/mindpm

Install

Overview

Description from the maker (original English)

Project memory and a control plane for AI coding agents.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: MINDPM_DB_PATH, MINDPM_PORT, MINDPM_HOST

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "mindpm": {
      "command": "npx",
      "args": [
        "-y",
        "mindpm"
      ],
      "env": {
        "MINDPM_DB_PATH": "your-value",
        "MINDPM_PORT": "your-value",
        "MINDPM_HOST": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add mindpm --env MINDPM_DB_PATH=your-value --env MINDPM_PORT=your-value --env MINDPM_HOST=your-value -- npx -y mindpm

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "mindpm": {
      "command": "npx",
      "args": [
        "-y",
        "mindpm"
      ],
      "env": {
        "MINDPM_DB_PATH": "your-value",
        "MINDPM_PORT": "your-value",
        "MINDPM_HOST": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "mindpm": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mindpm"
      ],
      "env": {
        "MINDPM_DB_PATH": "your-value",
        "MINDPM_PORT": "your-value",
        "MINDPM_HOST": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • MINDPM_DB_PATH env
    Path to the SQLite database file
  • MINDPM_PORT env
    Port for the built-in Kanban board UI
  • MINDPM_HOST env
    Interface the Kanban UI binds to. Loopback by default; set 0.0.0.0 only to opt in (e.g. under WSL2 NAT)

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

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 7, 2026

  • ✓ Pass

    Maker matches the repo

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

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – 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

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7249 servers in this category
  • Published to the registry more recently than 54% of the other 7249 servers in this category
  • Basic checks equal to or better than 100% of the other 7249 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 Mindpm safe?

It passed 1 of 1 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 –, and the latest version (3.2.0) reached the registry 32 days ago.

Which apps can use it?

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

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

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

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month
Install

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.

mindpm

Project memory and a control plane for AI coding agents.

mindpm is an MCP (Model Context Protocol) server that gives LLMs a SQLite-backed brain for your projects. It tracks tasks, decisions, architecture notes, and session context — so every new conversation picks up exactly where you left off. It also hands specced tasks to coding agents, keeps parallel agents from colliding, and only counts work as done once a human has accepted it. For agents that run unattended, an optional verifier reruns the checks itself first.

The Problem

Every new LLM chat starts from zero:

  • *"Let me remind you about my project..."*
  • *"Last time we decided to use Redis for..."*
  • *"Where did we leave off?"*

The Solution

mindpm persists your project state in a local SQLite database. The LLM reads and writes to it via MCP tools. No chat history needed. No memory features needed.

You: "What should I work on next?"

LLM: [queries mindpm] "Last session you finished the auth refactor. You have 3 high-priority tasks: rate limiting, API docs, and the webhook retry bug. Rate limiting is unblocked — start there."

What It Tracks

  • Tasks, specs and acceptance criteria, with handoff statuses, priorities and blockers
  • Decisions: what was decided, why, and what was rejected
  • Notes and context: architecture, bugs, ideas, tech stack, conventions
  • Sessions: what was done and what's next, plus a brief of what changed while you were away
  • Agent attempts: every run on a task, and what the next attempt should avoid

Quick start

claude mcp add mindpm -e MINDPM_DB_PATH=~/.mindpm/memory.db -- npx -y mindpm

That's Claude Code, and npx fetches mindpm, so there's nothing to install first. Claude Desktop, Cursor, VS Code, Cline and Windsurf use the same JSON config in a different file. Then just talk about your project. The LLM calls start_session to load its context, records tasks, decisions and notes as you go, and calls end_session to save what's next. A Kanban board runs at http://localhost:3131.

How it works

┌──────────────┐     MCP      ┌─────────┐     SQLite     ┌───────────┐

│ Claude Code, │ ◄──────────► │ mindpm │ ◄────────────► │ memory.db │ │ Cursor, ... │ tools │ server │ read/write │ │ └──────────────┘ └─────────┘ └───────────┘

Everything stays on your machine, in one SQLite file (~/.mindpm/memory.db by default). mindpm can also hand specced tasks to coding agents with no conversation context: claims with leases keep parallel agents from colliding, and you accept submitted work on the board. For agents that run unattended, an optional verifier reruns the checks on each submitted commit first.

Security: mindpm has no user accounts and can't stop a process on your own machine. An agent with a shell can call the board's routes as you or edit the database directly. Read the security model before you let agents run unattended.

Documentation

Full documentation: https://umitkavala.github.io/mindpm/

License

MIT

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