# mindmap-mcp-server

> Use this tool when you need to capture and retain context across multiple AI sessions, enabling seamless resume and shared memory functionality. It solves problems of lost context and session continuity, providing a local-first MCP server for AI tools. The mindmap-mcp-server accepts AI session data as input and outputs a shared memory state, ideal for use cases requiring persistent context awareness.

Canonical page: https://skillsregistry.net/skills/ravi-labs-mindmap-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/ravi-labs-mindmap-mcp-server

## Description

A local-first MCP server for shared memory across AI tools, enabling context capture and resume across sessions.

## Trust

- **Trust score (0–1):** 0.52
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dhfdk694kr)
- **Repository:** <https://github.com/ravi-labs/mindmap-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ravi-labs-mindmap-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ravi-labs-mindmap-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ravi-labs-mindmap-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt