How to Use the Conda (Anaconda.org) MCP in Google ADK
Give your Google ADK agents direct access to Anaconda package structures and organization channels with zero-config tools.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Conda (Anaconda.org) MCP to Google ADK
Create your Vinkius account to connect Conda (Anaconda.org) to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Map Anaconda organizations directly to Google ADK
The `list_my_organizations` tool retrieves the exact list of channels your authenticated user belongs to, feeding this structure directly into Google ADK. Your Gemini-powered agent uses this channel list to organize internal software mirrors or manage package distribution pipelines. Because Google ADK handles long contexts, your agent can analyze hundreds of organizational channels at once. It correlates this channel data with your BigQuery datasets to track package usage across your enterprise.
Deep metadata extraction via this MCP Server
The `get_package_details` tool extracts deep metadata, licenses, and dependency trees for any package on Anaconda.org. Your Google ADK agent parses this raw data to ensure compliance with your enterprise software policies. This MCP Server connection lets your agent cross-reference package licensing with your internal databases. The agent flags non-compliant licenses automatically, keeping your software supply chain clean without manual audits.
Search Conda Cloud from Google ADK
The `search_conda_packages` tool queries Anaconda.org directly from your Google ADK agent. Your agent searches for specific binaries and returns structured results, allowing you to automate software builds from your pipeline. You pass the toolset to your LlmAgent constructor to give it instant search access. The agent filters results based on your criteria, selecting the correct package without relying on hardcoded scripts.
Set up Conda (Anaconda.org) MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 4
Run with any Gemini model
The agent works with any Gemini model (
gemini-2.0-flash,gemini-2.5-pro, etc.). Copy the full example on the right to get started with Conda (Anaconda.org) tools in your ADK agent.
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams
# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
connection_params=SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
)
# Create your agent with auto-discovered tools
agent = LlmAgent(
name="Conda (Anaconda.org)_agent",
model="gemini-2.0-flash",
instruction="You have access to Conda (Anaconda.org) tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Conda. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Conda (Anaconda.org) MCP in Google ADK
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