Package Search

~/.cursor/mcp.jsonを作成または編集します。

{
  "mcpServers": {
    "package-search": {
      "transport": "streamable_http",
      "url": "https://mcp.trychroma.com/package-search/v1",
      "headers": {
        "x-chroma-token": "<YOUR_CHROMA_API_KEY>"
      }
    }
  }
}

.vscode/mcp.jsonを作成または編集します。

{
  "servers": {
    "package-search": {
      "type": "http",
      "url": "https://mcp.trychroma.com/package-search/v1",
      "headers": {
        "x-chroma-token": "<YOUR_CHROMA_API_KEY>"
      }
    }
  }
}

Windsurf MCP設定を開き、以下を追加します。

{
  "mcpServers": {
    "package-search": {
      "serverUrl": "https://mcp.trychroma.com/package-search/v1",
      "headers": {
        "x-chroma-token": "<YOUR_CHROMA_API_KEY>"
      }
    }
  }
}

Warp MCP設定に以下を追加します。追加後、サーバーの「開始」をクリックしてください。

{
    "package-search": {
      "command": "npx",
      "args": ["mcp-remote", "https://mcp.trychroma.com/package-search/v1", "--header", "x-chroma-token: ${X_CHROMA_TOKEN}"],
      "env": {
        "X_CHROMA_TOKEN": "<YOUR_CHROMA_API_KEY>"
      }
    }
}

~/.codex/config.tomlファイルにChroma Cloud APIキーを追加します。

[mcp_servers.package-search]
command = "npx"
args = ["mcp-remote", "https://mcp.trychroma.com/package-search/v1", "--header", "x-chroma-token: ${X_CHROMA_TOKEN}"]
env = { X_CHROMA_TOKEN = "<YOUR_CHROMA_API_KEY>" }

ターミナルで以下のコマンドを実行します。

claude mcp add --transport http package-search https://mcp.trychroma.com/package-search/v1 --header "x-chroma-token: <YOUR_CHROMA_API_KEY>"

from openai import OpenAI

client = OpenAI(api_key="<YOUR_OPENAI_API_KEY>")

resp = client.responses.create(
    model="gpt-5",
    input="Explain how colorlog implements testing in python",
    tools=[
        {
            "type": "mcp",
            "server_label": "package-search",
            "server_url": "https://mcp.trychroma.com/package-search/v1",
            "headers": {"x-chroma-token": "<YOUR_CHROMA_API_KEY>"},
            "require_approval": "never"
        }
    ],
)
print(resp)

import anthropic

client = anthropic.Anthropic(api_key="<YOUR_ANTHROPIC_API_KEY>")

response = client.beta.messages.create(
    model="claude-sonnet-4-20250514",
    max_tokens=1000,
    messages=[{"role": "user", "content": "Explain how colorlog implements testing in python"}],
    mcp_servers=[
        {
            "type": "url",
            "url": "https://mcp.trychroma.com/package-search/v1",
            "name": "package-search",
            "authorization_token": "<YOUR_CHROMA_API_KEY>"
        }
    ],
    betas=["mcp-client-2025-04-04"],
)
print(response)

import asyncio
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client
from google import genai

client = genai.Client(api_key="<YOUR_GEMINI_API_KEY>")

async def run():
    async with streamablehttp_client(
        "https://mcp.trychroma.com/package-search/v1",
        headers={"x-chroma-token": "<YOUR_CHROMA_API_KEY>"},
    ) as (read, write, _):
        async with ClientSession(read, write) as session:
            await session.initialize()
            prompt = "what logging levels are available in uber's zap go module?"
            response = await client.aio.models.generate_content(
                model="gemini-2.5-flash",
                contents=prompt,
                config=genai.types.GenerateContentConfig(temperature=0, tools=[session]),
            )
            print(response.text if hasattr(response, "text") else response)
asyncio.run(run())

import asyncio
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client

async def main():
    async with streamablehttp_client(
        "https://mcp.trychroma.com/package-search/v1",
        headers={"x-chroma-token": "<YOUR_CHROMA_API_KEY>"},
    ) as (read_stream, write_stream, _):
        async with ClientSession(read_stream, write_stream) as session:
            await session.initialize()
            tools = await session.list_tools()
            result = await session.call_tool(
                name="package_search_grep",
                arguments={"package_name": "colorlog", "registry_name": "py_pi", "pattern": "\bclass\b"},
            )
            print(f"Got result: {result}")
            print(f"Available tools: {[t.name for t in tools.tools]}")

asyncio.run(main())

mcp_config.jsonを作成します。

{
  "mcpServers": {
    "package-search": {
      "type": "streamable_http",
      "url": "https://mcp.trychroma.com/package-search/v1",
      "headers": { "x-chroma-token": "<YOUR_CHROMA_API_KEY>" },
      "disabled": false
    }
  }
}

以下を実行します。

ollmcp --servers-json /path/to/mcp_config.json --model qwen2.5

~/.config/opencode/opencode.jsonに以下を追加します。

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "package-search": {
      "type": "remote",
      "url": "https://mcp.trychroma.com/package-search/v1",
      "enabled": true,
      "headers": { "x-chroma-token": "<YOUR_CHROMA_API_KEY>" }
    }
  }
}