Zed Setup¶

Set up Zed to generate idiomatic adk-fluent and Google ADK code.

1. Quick use — llms.txt¶

Reference adk-fluent’s documentation directly in Zed’s assistant chat:

#fetch https://vamsiramakrishnan.github.io/adk-fluent/llms.txt

This loads the full adk-fluent API reference, patterns, and best practices into the conversation context.

2. MCP server — live documentation access¶

Open Zed Settings and add an MCP context server.

Option A: adk-fluent GitMCP (free)¶

Add to your Zed settings (settings.json):

{
  "context_servers": {
    "adk-fluent": {
      "command": {
        "label": "adk-fluent docs",
        "path": "npx",
        "args": ["-y", "@anthropic-ai/mcp-proxy", "--transport", "http", "https://gitmcp.io/vamsiramakrishnan/adk-fluent"]
      }
    }
  }
}

Option B: Context7 MCP¶

{
  "context_servers": {
    "context7": {
      "command": {
        "path": "npx",
        "args": ["-y", "@upstash/context7-mcp"]
      }
    }
  }
}

Usage — append use context7 to your prompt:

Build me a pipeline with a researcher and writer agent using adk-fluent. use context7

3. Verify the setup¶

After configuring the MCP server, test it with a prompt like:

Create an adk-fluent agent that classifies customer support tickets
into categories, then routes them to specialized handler agents.
Use a FanOut for parallel processing and write results to state.

Zed should:

Import from adk_fluent (not internal modules)
Use the fluent builder pattern with method chaining
Call .build() to produce native ADK objects
Use .writes() for state management