AO

이 페이지는 AI로 자동 번역되었습니다. 기술적인 세부 사항은 원문을 확인하세요. 원문 보기

0 stars 0 forks 품질 65 트렌드 4MIT

Akasha MCP server — use your second brain in Claude and other LLMs

개요

Akasha MCP server — use your second brain as context in Claude, Cursor, and any other MCP-compatible LLM tool. Connect Akasha to Claude Desktop and every conversation automatically has your full context — your projects, decisions, recent activity, and knowledge graph. - A running Akasha instance - An Akasha API key (generated in your workspace settings) ~/Library/Application Support/Claude/claude_desktop_config.json %APPDATA%\Claude\claude_desktop_config.json Restart Claude Desktop. You should see Akasha appear in the tools panel. Claude will query your Akasha graph and answer from your actual context — not from thin air. The MCP server only exposes data from your own Akasha instance. Private nodes are never included in MCP responses. You control what is accessible via workspace settings.

README

@akasha/mcp

Akasha MCP server — use your second brain as context in Claude, Cursor, and any other MCP-compatible LLM tool.

Connect Akasha to Claude Desktop and every conversation automatically has your full context — your projects, decisions, recent activity, and knowledge graph.


Requirements

  • A running Akasha instance
  • An Akasha API key (generated in your workspace settings)

Claude Desktop setup

Add this to your Claude Desktop config:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "akasha": {
      "command": "npx",
      "args": ["@akasha-os/mcp"],
      "env": {
        "AKASHA_URL": "http://localhost:3000",
        "AKASHA_API_KEY": "your-api-key"
      }
    }
  }
}

Restart Claude Desktop. You should see Akasha appear in the tools panel.


Available tools

Tool Description
search_graph Search your knowledge graph by keyword or concept
get_project_context Full context for a project — activity, documents, decisions
get_today_context Today’s biometrics, tasks, open loops, and agent insights
get_recent_activity Your activity from the last N hours across all sources
get_insights Unread agent insights and nudges

Example

Once connected, ask Claude:

What should I focus on today?
Catch me up on the Akasha project
What do I know about vector databases?
Who have I talked to most about this topic?

Claude will query your Akasha graph and answer from your actual context — not from thin air.


Privacy

The MCP server only exposes data from your own Akasha instance. Private nodes are never included in MCP responses. You control what is accessible via workspace settings.


GitHub에서 전체 README 보기

설치

npx @akasha-os/mcp
MCP 초보자라면? mcpskill.org 가이드부터 시작하세요 →

설정

{ "mcpServers": { "akasha": { "command": "npx", "args": ["@akasha-os/mcp"], "env": { "AKASHA_URL": "http://localhost:3000", "AKASHA_API_KEY": "your-api-key" } } } }