contextual MCP配置与使用教程

{
  "id": "io.github.Contextual-Laboratories/contextual",
  "type": "mcp-server",
  "version": "1.0.2",
  "displayName": "contextual",
  "description": "Persistent memory for AI coding agents: local-first semantic search, dependency graphs, git history.",
  "distribution": {
    "packages": [
      {
        "registryType": "pypi",
        "identifier": "contextual-engine",
        "version": "1.0.2",
        "transport": "stdio",
        "environmentVariables": [
          {
            "name": "CONTEXTUAL_LOG_LEVEL",
            "description": "Python logging level as an integer (e.g. 10=DEBUG, 20=INFO). Defaults to INFO."
          }
        ]
      }
    ],
    "remotes": []
  },
  "dependencies": [],
  "installTargets": [
    "claude-code",
    "claude-desktop",
    "cursor",
    "vscode",
    "trae",
    "cherry-studio",
    "lingma",
    "windsurf",
    "cline",
    "workbuddy"
  ],
  "keywords": [],
  "provenance": {
    "origin": "official-mcp-registry",
    "originalId": "io.github.Contextual-Laboratories/contextual",
    "originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/io.github.Contextual-Laboratories%2Fcontextual/versions/latest",
    "isOfficial": true,
    "status": "active"
  }
}