How do I get a Cody AI API key?

In the Cody AI dashboard, go to **Settings > API** and copy your key. Paste it below.

Focus Mode restricts a bot's knowledge to specific documents for a given conversation, improving answer relevance.

How long does it take to learn new documents?

Usually seconds to minutes depending on document size. Use 'get_document_status' to check when sync is complete.

Cody AI MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Cody AI
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Cody AI as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="cody_ai_agent",
    instruction=(
        "You help users interact with Cody AI "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Cody AI MCP Server

Connect your AI to Cody AI, the business AI assistant that can be trained on your own knowledge base.

Google ADK natively supports Cody AI as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Bot Management — List active bots, check their configurations, and view which documents they're trained on.
Conversations — Start conversations with any bot and ask questions against your knowledge base.
Document Import — Import web pages and files into specific folders to expand a bot's knowledge.

The Cody AI MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Cody AI to Google ADK via MCP

Follow these steps to integrate the Cody AI MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Cody AI via MCP

Why Use Google ADK with the Cody AI MCP Server

Google ADK provides unique advantages when paired with Cody AI through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Cody AI

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Cody AI tools with BigQuery, Vertex AI, and Cloud Functions

Cody AI + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Cody AI MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Cody AI and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Cody AI tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Cody AI regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Cody AI

Cody AI MCP Tools for Google ADK (10)

These 10 tools become available when you connect Cody AI to Google ADK via MCP:

create_conversation

Create a new conversation session with a specific bot

get_bot_details

Retrieve detailed information about a specific bot

get_document_status

Check the syncing status of a document to see if the AI has finished learning it

import_webpage

Import content from a URL into a specific folder in your knowledge base

list_bots

Retrieve all bots configured in your Cody AI account

list_conversations

Retrieve a list of recent conversations

list_documents

Retrieve a list of documents in your knowledge base

list_folders

Retrieve a list of folders in your knowledge base

list_messages

Retrieve the message history for a specific conversation

send_message

Send a prompt to the AI in a specific conversation

Example Prompts for Cody AI in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Cody AI immediately.

"Show me all active bots in Cody AI."

"Ask bot 'bot-xxxx': 'How do I reset my password?'"

"Import my local 'compliance_guidelines.pdf' into the Legal Bot's knowledge base."

Troubleshooting Cody AI MCP Server with Google ADK

Common issues when connecting Cody AI to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Cody AI + Google ADK FAQ

Common questions about integrating Cody AI MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.