Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Local-first memory & context-handoff across AI tools — capture in one, resume in another. No cloud.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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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": {
"mindmap": {
"command": "npx",
"args": [
"-y",
"@ravi-labs/mindmap-mcp-server"
]
}
}
}Run this in your terminal
claude mcp add mindmap -- npx -y @ravi-labs/mindmap-mcp-serverPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"mindmap": {
"command": "npx",
"args": [
"-y",
"@ravi-labs/mindmap-mcp-server"
]
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"mindmap": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@ravi-labs/mindmap-mcp-server"
]
}
}
}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.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account ravi-labs, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (0.5.0) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Context7, Codebase Memory, Exa
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
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
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.
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 — 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
~/.mindmapthat 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 — they can't
reach a local server without a public endpoint, which conflicts with
local-first. See Future._
Once published to npm, the whole install is:
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 — override with the MINDMAP_DIR env var.
Every client uses the same command — npx -y @ravi-labs/mindmap-mcp-server over stdio.
Claude Code:
claude mcp add mindmap -- npx -y @ravi-labs/mindmap-mcp-server
Claude Desktop — edit claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": { "mindmap": { "command": "npx", "args": ["-y", "@ravi-labs/mindmap-mcp-server"] } } }
Cursor / Windsurf / other clients — same command + args shape in that client's MCP config. Add an env block to relocate data:
{ "command": "npx", "args": ["-y", "@ravi-labs/mindmap-mcp-server"],
"env": { "MINDMAP_DIR": "/path/to/my/memory" } }
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
Just talk naturally inside your AI tool — the model calls the right tool:
Run npx @ravi-labs/mindmap-mcp-server quickstart for the full getting-started guide.
Start an idea in Claude, keep going in Cursor — 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 → brainstorm → save flow for Claude.
Mind Map always organizes automatically (recency tiers, source, topic, workspace). Collections are your own layer on top: named groups like 🎯 Goals, 🅿️ Parking Lot, ✅ Decisions — 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:
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 — 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.
For Claude Code, install adds a `SessionEnd` auto-capture hook — 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_captureto save the context.
When I reference past work, call
mindmap_resumefirst.
The tools are also described to encourage the model to do this proactively.
Import your existing Claude history into Mind Map — distilled, not raw dumps:
npx @ravi-labs/mindmap-mcp-server import --dry-run # preview
npx @ravi-labs/mindmap-mcp-server import # apply
Covers Claude Code (CLI — 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 , --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 — for the transcript-backed sources (Claude Code, Cursor, Copilot). Re-run with --reimport to refresh existing memories in place after an upgrade.
Notes:
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.
Beyond individual discussions, Mind Map keeps a persona: a distilled, evolving profile of *how you work* — your stack, style, communication preferences, and constraints — so any tool can apply it and stop re-asking the same setup questions. It's separate from your discussion memories.
mindmap_persona_set. High confidence, yours, editable.mindmap_persona_learn derives recurring signals from your existing memories. No LLM needed (keyword heuristic); richer if you enable one.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_personaand apply it. When I state a
durable preference, call
mindmap_persona_set.
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 — export everything to one portable, open file, and pull your context *out of the walled gardens*:
npx @ravi-labs/mindmap-mcp-server passport export # → ~/mindmap-passport-<date>.json
npx @ravi-labs/mindmap-mcp-server passport import # from another machine npx @ravi-labs/mindmap-mcp-server passport import-chatgpt conversations.json # your ChatGPT export npx @ravi-labs/mindmap-mcp-server passport import-claude conversations.json # your Claude.ai export
The cloud chats can't be reached live from a local server — but their data export files are yours, and this imports them as distilled memories.
Glass-box memory — see exactly what's stored and why:
npx @ravi-labs/mindmap-mcp-server audit
Every memory shows its provenance (where it came from), trust (how many times you reused it), and decay forecast (when it fades to a one-line trace). In the dashboard, each memory has a one-click Forget. Unlike opaque vector stores, nothing about your memory is hidden from you.
Persona projection — write your persona into each tool's own config, so even non-MCP tools know how you work:
npx @ravi-labs/mindmap-mcp-server persona-sync # Claude, Cursor, Copilot, Windsurf
It edits only a managed block ( …:end), so your own content is never touched.
Mind Map runs fully without any LLM — every feature has a no-LLM path. If you *want* smarter persona inference and topic-graph labels, plug in your own provider (anthropic, openai, google, or local ollama). It's opt-in and graceful: no key, or a failed call, simply falls back to the no-LLM path, and any cost notes are rough estimates — never a bill.
Mind Map never stores your API key. It saves only the provider + model name in ~/.mindmap/llm.json; the key is read from an environment variable at call time. You set the key; Mind Map just reads it.
Smarter search (optional). Search is BM25 out of the box — no LLM needed. With an embeddings-capable provider (OpenAI, Google, or Ollama — Anthropic has no embeddings API), build a local embedding cache for hybrid search (BM25 fused with semantic similarity via reciprocal rank fusion):
npx @ravi-labs/miOnly the beginning is shown; read the rest in the repo