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MCP server · Data

io.github.umitkavala/mindpm

Persistent project memory for LLMs via SQLite. Never re-explain your project again.

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About io.github.umitkavala/mindpm

io.github.umitkavala/mindpm is an MCP server published by umitkavala in the Data category: persistent project memory for LLMs via SQLite. Never re-explain your project again.

The repository has 9 stars and 2 forks, with the last commit 17 days ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

Claude Code
claude mcp add io-github-umitkavala-mindpm -- npx -y mindpm
npx
npx -y mindpm

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (4)

create_projectCreate a new project

Parameters not published.

get_project_statusFull project overview

Parameters not published.

list_projectsList all projects

Parameters not published.

set_project_repo_pathSet/update the project's local git repo path (enables the session brief's git delta)

Parameters not published.

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README

mindpm

Persistent project memory for LLMs. Never re-explain your project again.

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.

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 — status, priority, blockers, sub-tasks
  • Decisions — what was decided, why, what alternatives were rejected
  • Notes — architecture, bugs, ideas, research
  • Context — key-value pairs (tech stack, conventions, config)
  • Sessions — what was done, what's next

Kanban Board

mindpm includes a built-in Kanban UI. When the MCP server starts, it serves a web interface at http://localhost:3131.

Every start_session call returns a direct link to your project's board:

Kanban board: http://localhost:3131?project=<project-id>

The port is configurable via the MINDPM_PORT environment variable.

Setup

Install

npm install -g mindpm

Or run from source:

git clone https://github.com/umitkavala/mindpm.git
cd mindpm
npm install
npm run build

Configure your MCP client

All clients use the same JSON format — just different config file locations. They all share the same ~/.mindpm/memory.db, so you can switch tools mid-project without losing context.

Claude Code — ~/.claude/claude_desktop_config.json

{
  "mcpServers": {
    "mindpm": {
      "command": "mindpm",
      "env": {
        "MINDPM_DB_PATH": "~/.mindpm/memory.db",
        "MINDPM_PORT": "3131"
      }
    }
  }
}

Or use the one-liner:

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

Cursor — .cursor/mcp.json in your project root (or ~/.cursor/mcp.json globally)

{
  "mcpServers": {
    "mindpm": {
      "command": "npx",
      "args": ["-y", "mindpm"],
      "env": {
        "MINDPM_DB_PATH": "~/.mindpm/memory.db"
      }
    }
  }
}

VS Code + Copilot — .vscode/mcp.json in your project root

{
  "servers": {
    "mindpm": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "mindpm"],
      "env": {
        "MINDPM_DB_PATH": "~/.mindpm/memory.db"
      }
    }
  }
}

Cline — Add via VS Code settings → Cline → MCP Servers, or edit cline_mcp_settings.json:

{
  "mcpServers": {
    "mindpm": {
      "command": "npx",
      "args": ["-y", "mindpm"],
      "env": {
        "MINDPM_DB_PATH": "~/.mindpm/memory.db"
      }
    }
  }
}

Windsurf — Settings → Cascade → MCP, using the same JSON structure as Cline above.

Using mindpm with any LLM

On first run, mindpm writes ~/.mindpm/AGENT.md — a ready-to-paste system prompt that tells your LLM how to use mindpm proactively. Paste its contents into your client's custom instructions or system prompt box.

You can also call the get_agent_instructions tool at any time to retrieve the instructions.

Start Using

That's it. The LLM now has access to mindpm tools. Just start talking about your projects.

MCP Tools

Projects

Tool Description
create_project Create a new project
list_projects List all projects
get_project_status Full project overview

Tasks

Tool Description
create_task Add a task
update_task Update status, priority, etc.
list_tasks List with filters
get_task Full task detail with sub-tasks and notes
get_next_tasks Smart: highest priority, unblocked

Decisions

Tool Description
log_decision Record a decision with reasoning
list_decisions Browse decision history

Notes & Context

Tool Description
add_note Add a note (architecture, bug, idea, etc.)
search_notes Full-text search
set_context Store key-value context
get_context Retrieve context

Sessions

Tool Description
start_session Get full project context + last session's next steps
end_session Record summary + what to do next time

Query

Tool Description
query Read-only SQL against the database
get_project_summary Tasks by status, blockers, recent activity
get_blockers All blocked tasks with what's blocking them
search Full-text search across everything

How It Works

┌─────────────┐     MCP      ┌─────────┐     SQLite     ┌──────────┐
│  Claude Code │ ◄──────────► │ mindpm  │ ◄────────────► │ memory.db│
│  / Desktop   │   tools      │ server  │   read/write   │          │
└─────────────┘               └─────────┘                └──────────┘
  1. You start a conversation and mention your project
  2. The LLM calls start_session → gets full context
  3. During the conversation, it creates tasks, logs decisions, adds notes
  4. When you're done, it calls end_session → saves what's next
  5. Next conversation: instant context, zero re-explanation

Storage

Default: ~/.mindpm/memory.db

Override with MINDPM_DB_PATH or PROJECT_MEMORY_DB_PATH environment variable.

Database and tables are created automatically on first run.

Development

npm install
npm run build       # Build with tsup
npm run typecheck   # Type-check without emitting
npm run dev         # Build in watch mode

License

MIT

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About io.github.umitkavala/mindpm

How do I install io.github.umitkavala/mindpm?

Run claude mcp add io-github-umitkavala-mindpm -- npx -y mindpm, then add the server to your MCP client's configuration.

Is io.github.umitkavala/mindpm safe to use with an AI agent?

Its trust score is 37 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is io.github.umitkavala/mindpm still maintained?

Yes — the last commit was 17 days ago. The repository has 9 stars and 2 forks.