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  1. Home
  2. ๐Ÿง  Knowledge & Memory
  3. Mindmap MCP Server
Mindmap MCP Server logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 5:46:41 PM

Mindmap MCP Server

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View Repository4 GitHub StarsTotal stargazers on GitHub for the source repository (4 stars).Visit Website
memorycontext-handoffproductivitymcp

Local-first MCP memory for capturing, organizing, and resuming context across AI tools.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” 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 โ€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "ravi-labs-mindmap-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@ravi-labs/mindmap-mcp-server"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (29) Directory Badge Claim listing Alternatives๐Ÿง  More in Knowledge & Memory

Overview

Mind Map stores memories as local files and lets compatible MCP clients capture, search, organize, and resume work across sessions. It uses reuse-based promotion and graceful decay to keep infrequently used memories compact without silently deleting them. Use it when you need shared context across local AI tools without a cloud account.

Use cases

โ€ขCapture a session summary before switching AI tools
โ€ขResume unfinished projects with workspace and next-step context
โ€ขOrganize memories into goals, decisions, or parking-lot collections
โ€ขBrainstorm using prior idea threads and persona preferences
โ€ขExport or import memories and persona data through a portable passport

Key features

โ€ขLocal file-based memory storage under ~/.mindmap by default
โ€ขCross-client context capture and resume
โ€ขMemory tiers with reuse promotion and graceful decay
โ€ขCollections, search, filtering, linking, and curation
โ€ขPersona preferences with optional native-config synchronization
โ€ขPassport export and import for memories and persona data

Capabilities & Tool Schemas (29) ~568 tokensApproximate context cost of this serverโ€™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 โ€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Mindmap MCP Server.

mindmap_capture

Silently save a context summary (the effortless half of the loop).

mindmap_resume

Find + return the best context for a topic; **promotes on reuse**. Also a launcher: pass `collection` to resume out of e.g. "Unfinished projects".

mindmap_resume_options

List distinct candidate topics (with workspace) so the user can pick which to resume.

mindmap_import

On-demand session sync โ€” "update mind map with my recent work".

mindmap_organize

File memories into collections โ€” "add this to my Goals", "park this".

mindmap_collections

View collections; opening one shows workspace + where-you-left-off per item.

Documentation Overview

๐Ÿง  Mind Map โ€” MCP memory & context-handoff server

npm CI License: Apache-2.0 Node

Ever lose the thread of a discussion across Claude Code, Claude Desktop, and your other AI tools? Mind Map is a small, local-first MCP server that acts as a shared memory layer across all your local MCP clients.

You capture context at the end of a session, and resume it in any other tool โ€” no more re-explaining your project from scratch. Memory you stop using cools and decays gracefully into one-line traces (it's never silently deleted), so your shelf stays small and trustworthy instead of becoming another haystack.

Local-first by design. It runs on your machine; your memories are plain files in ~/.mindmap that never leave your control. No account, no cloud, no server to trust. Install once with npx @ravi-labs/mindmap-mcp-server install.

ChatGPT and other cloud/web clients are out of scope for now โ€” they can't reach a local server without a public endpoint, which conflicts with local-first. See Future.

The idea in one loop

  1. Capture (effortless) โ€” at the end of a discussion, save a portable summary.
  2. Resume (promote-on-reuse) โ€” pull it forward in a new session. The act of reusing it is what promotes it to trusted memory. Throwaway sessions never get promoted, so they never clutter your shelf.
  3. Consolidate (automatic) โ€” a background pass cools unused memory through tiers (๐Ÿ”ฅ hot โ†’ ๐ŸŒค๏ธ warm โ†’ โ„๏ธ cold) and collapses cold items to a searchable one-line trace. The moat isn't storing things โ€” it's forgetting well.
  4. Tidy (opt-in, gamified) โ€” a cleanliness score rewards pruning, not hoarding.

Install (one command)

Once published to npm, the whole install is:

Terminal
npx @ravi-labs/mindmap-mcp-server install

This auto-detects your local MCP clients (Claude Desktop, Cursor, Windsurf) and writes the config for you, and configures Claude Code via its CLI if present. Restart your client and Mind Map's tools are there. Preview first with npx @ravi-labs/mindmap-mcp-server install --dry-run; undo with npx @ravi-labs/mindmap-mcp-server uninstall.

Data lives in ~/.mindmap/ by default โ€” override with the MINDMAP_DIR env var.

Manual setup (if you prefer)

Every client uses the same command โ€” npx -y @ravi-labs/mindmap-mcp-server over stdio.

Claude Code:

Terminal
claude mcp add mindmap -- npx -y @ravi-labs/mindmap-mcp-server

Claude Desktop โ€” edit claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/claude_desktop_config.json):

config.json
{
  "mcpServers": {
    "mindmap": {
      "command": "npx",
      "args": ["-y", "@ravi-labs/mindmap-mcp-server"]
    }
  }
}

Cursor / Windsurf / other clients โ€” same command + args shape in that client's MCP config. Add an env block to relocate data:

config.json
{ "command": "npx", "args": ["-y", "@ravi-labs/mindmap-mcp-server"],
  "env": { "MINDMAP_DIR": "/path/to/my/memory" } }

From source (development)

bash
git clone https://github.com/ravi-labs/mindmap-mcp-server.git && cd mindmap-mcp-server
npm install && npm run build
node dist/index.js install --local   # points clients at this checkout

Using it day to day

Just talk naturally inside your AI tool โ€” the model calls the right tool:

  • "Save this to mind map" โ†’ captures the current context
  • "Resume my work on <topic>" โ†’ pulls it back into a fresh session
  • "What's in my mind map?" / "Show my mind map health" โ†’ browse / score
  • "What do you know about how I work?" โ†’ reads your persona (see below)
  • "Brainstorm <topic> with me" โ†’ loads your prior thinking so ideas continue across tools
  • "Add this to my Goals" / "park this for later" โ†’ files it into a collection
  • "What apps did I start and never finish?" โ†’ auto-organizes your memory into collections
  • "Continue one of my unfinished projects" โ†’ pick one, and you're back in the right folder at the exact next step

Run npx @ravi-labs/mindmap-mcp-server quickstart for the full getting-started guide.

Brainstorm across tools

Start an idea in Claude, keep going in Cursor โ€” without re-explaining it. Mind Map is the shared memory; each tool brings its own brainstorming muscle. mindmap_brainstorm loads your persona and prior idea-threads on the topic, you brainstorm, and saving with kind: "brainstorm" lets it resume anywhere. A bundled brainstorm Skill (installed into ~/.claude/skills by install) wires the load โ†’ brainstorm โ†’ save flow for Claude.

Organize it your way โ€” Collections

Mind Map always organizes automatically (recency tiers, source, topic, workspace). Collections are your own layer on top: named groups like ๐ŸŽฏ Goals, ๐Ÿ…ฟ๏ธ Parking Lot, โœ… Decisions โ€” or anything you invent. Say "add this to my Goals" or "park this" in any tool, or use the dashboard's Organize tab.

Two things make collections more than folders:

  • Filing protects from decay. A memory in a pinned collection won't be forgotten while it's filed โ€” parking something is a signal it matters. (An explicit "forget this" still wins.)
  • Every collection is a launcher. "Continue one of my unfinished projects" lists them โ€” each with its ๐Ÿ“‚ workspace and โ†ณ where you left off โ€” pick one and mindmap_resume drops you back in: full topic context, right folder, exact next step.

Don't want to file things by hand? Auto-organize reads across all your sessions and proposes collections โ€” it always looks for unfinished projects (started building, went cold, never shipped), Goals, Decisions, and parked ideas, plus anything you ask for ("everything about billing"). It only suggests; nothing is filed until you accept. Uses your own LLM if configured, otherwise a no-key heuristic.

Make capture automatic

For Claude Code, install adds a SessionEnd auto-capture hook โ€” every substantive session is distilled into a memory automatically, so you never have to remember to save. It's deduped (resuming + re-ending updates in place) and skips trivial/automated sessions. Opt out with install --no-hook; it's removed cleanly by uninstall.

For other clients (or as a belt-and-braces nudge), add one line to your client's instructions (e.g. Claude Code's CLAUDE.md):

At the end of a substantive session, call mindmap_capture to save the context. When I reference past work, call mindmap_resume first.

The tools are also described to encourage the model to do this proactively.

Bring in your past sessions

Import your existing Claude history into Mind Map โ€” distilled, not raw dumps:

Terminal
npx @ravi-labs/mindmap-mcp-server import --dry-run   # preview
npx @ravi-labs/mindmap-mcp-server import             # apply

Covers Claude Code (CLI โ€” full prompts), Cowork (title + opening message), VS Code Copilot (full prompts), and Cursor (chat titles + prompts); each memory is tagged by source. Filters: --source code|cowork|copilot|cursor, --project <name>, --limit N. Imported memories keep their original dates, so old ones settle into cold traces automatically.

Imported memories capture the discussion (your prompts + the assistant's substantive answers), not just titles โ€” for the transcript-backed sources (Claude Code, Cursor, Copilot). Re-run with --reimport to refresh existing memories in place after an upgrade.

Notes:

  • Cursor stores chats in a (often multi-GB) SQLite DB, read via Node's built-in SQLite โ€” so Cursor import needs Node 22.5+ (other sources don't).
  • ChatGPT and Claude.ai web chats can't be imported โ€” they live in the cloud, not local files. (A future "import from data-export file" is planned.)

Tidy up

Terminal
npx @ravi-labs/mindmap-mcp-server cleanup --dry-run   # preview
npx @ravi-labs/mindmap-mcp-server cleanup             # apply

Removes automated/scheduled-task memories and collapses duplicate sessions. Anything you've promoted is always kept.

Persona โ€” a profile every tool can read

Beyond individual discussions, Mind Map keeps a persona: a distilled, evolving profile of how you work โ€” your stack, style, communication preferences, and constraints โ€” so any tool can apply it and stop re-asking the same setup questions. It's separate from your discussion memories.

  • Declared facts: tell a tool "I prefer concise, code-first answers" and it calls mindmap_persona_set. High confidence, yours, editable.
  • Inferred facts: mindmap_persona_learn derives recurring signals from your existing memories. No LLM needed (keyword heuristic); richer if you enable one.
  • Tools call mindmap_persona at the start of a session and apply what's there.

Add this to your client's instructions so it happens automatically:

At the start of a session call mindmap_persona and apply it. When I state a durable preference, call mindmap_persona_set.

Own your context

A memory you can't extract, inspect, or carry isn't a memory you own. Three features make Mind Map's memory genuinely yours:

Memory Passport โ€” export everything to one portable, open file, and pull your context out of the walled gardens:

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

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Adoption & maintenance

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

GitHub stars
4
Stargazers on the source repository.
npm downloads
204
Package downloads in the last 30 days.
Last commit
2mo ago
Most recent push to the default branch.
Tools exposed
29
Callable tools this server registers over MCP.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

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Frequently Asked Questions about Mindmap MCP Server

It stores memories as plain files in ~/.mindmap by default, with the location configurable through MINDMAP_DIR.

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Technical Specs & Signals

Category๐Ÿง Knowledge & Memory
PricingFree
More technical detailsExpand โ–พ
TransportSTDIO
RuntimeNode.js
AuthNo auth required
LicenseApache-2.0
ClientsClaude Desktop, Cursor, Windsurf
Last updatedAug 11, 2026
10/11 checks healthy over the last 32d
Views1
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 stars4
GitHub Star CountTotal stargazers on GitHub representing community popularity (4 stars).
Last commit2mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jul 6, 2026
npm downloads204/mo
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Server availabilityNot measured

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

Verified ownership10/20
Documentation & tools28/30
Adoption & activity6/15
Community engagement0/10

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