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Memory and knowledge · MCP server

Mindmap MCP server (ravi-labs): MCP server, setup and security

Mindmap MCP server (ravi-labs) is an open-source MCP server published on GitHub that lets an AI agent transfer persistent memory and context between different artificial intelligence tools. Its repository has 6 stars and its last commit is from July 6, 2026 and it is licensed under Apache-2.0.

Last commit 4 months ago

What Mindmap MCP server (ravi-labs) does

According to its repository: “Local-first memory and context handoff across AI tools, with graceful decay, a persona layer and a portable memory passport.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Mindmap MCP server (ravi-labs) is listed under Memory and knowledge, a category of 250 servers in the directory, where it ranks #219 by stars.

Topics declared by the repository: ai-tools, claude, local-first, memory, typescript.

Installing and connecting Mindmap MCP server (ravi-labs)

Distribution modes declared in the official MCP registry:

  • npm package (Node.js, usually started with npx)

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: TypeScript.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Mindmap MCP server (ravi-labs). That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on June 8, 2026, the ravi-labs/mindmap-mcp-server repository has 6 stars and 0 forks, with 4 open issues. It has more stars than 17% of the servers in the directory. Last change 4 months ago. Version published in the registry: 0.5.0 (July 1, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

Context7Context7 : 63.6K63.6KHindsightHindsight : 53.4K53.4KCogneeCognee : 32.7K32.7KSkill SeekersSkill Seekers : 15.2K15.2KHonchoHoncho : 7.8K7.8KBasic memoryBasic memory : 4.3K4.3KNoteDiscoveryNoteDiscovery : 2.8K2.8KMemantoMemanto : 2.3K2.3KMindmap MCP server (ravi-labMindmap MCP server (ravi-lab : 66
GitHub stars of the most followed servers in the category (log scale); Mindmap MCP server (ravi-labs) in orange. Checked October 25, 2026.

Verdict

Mindmap MCP server (ravi-labs) is still a modest project: read its code and compare it with the alternatives before using it.

Strengths

  • Listed in the official MCP registry
  • Permissive licence (Apache-2.0)

Limitations

  • Few visible users

Frequently asked questions

How do I install Mindmap MCP server (ravi-labs)?

Mindmap MCP server (ravi-labs) is distributed as npm package (Node.js, usually started with npx). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of ravi-labs/mindmap-mcp-server.

Is Mindmap MCP server (ravi-labs) free?

The code is published under the Apache-2.0 licence and can be used free of charge.

Is Mindmap MCP server (ravi-labs) safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by ravi-labs on GitHub. Check who maintains it before giving it access.

What are the alternatives to Mindmap MCP server (ravi-labs)?

In the same category: Context7, Basic memory, Hindsight, and Cognee. Context7 and Basic memory score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score