How to integrate Pinecone MCP with Google ADK

This guide walks you through connecting Pinecone to Google ADK using the Composio tool router. By the end, you'll have a working Pinecone agent that can query all vectors similar to user question, upsert document embeddings into a namespace, delete vectors from the archive index through natural language commands. This guide will help you understand how to give your Google ADK agent real control over a Pinecone account through Composio's Pinecone MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Pinecone is a fully managed vector database for high-performance AI memory and search. It lets you scale semantic search and retrieval without infrastructure overhead.

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Introduction

This guide walks you through connecting Pinecone to Google ADK using the Composio tool router. By the end, you'll have a working Pinecone agent that can query all vectors similar to user question, upsert document embeddings into a namespace, delete vectors from the archive index through natural language commands.

This guide will help you understand how to give your Google ADK agent real control over a Pinecone account through Composio's Pinecone MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Pinecone with

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TL;DR

Here's what you'll learn:
  • Get a Pinecone account set up and connected to Composio
  • Install the Google ADK and Composio packages
  • Create a Composio Tool Router session for Pinecone
  • Build an agent that connects to Pinecone through MCP
  • Interact with Pinecone using natural language

What is Google ADK?

Google ADK (Agents Development Kit) is Google's framework for building AI agents powered by Gemini models. It provides tools for creating agents that can use external services through the Model Context Protocol.

Key features include:

  • Gemini Integration: Native support for Google's Gemini models
  • MCP Toolset: Built-in support for Model Context Protocol tools
  • Streamable HTTP: Connect to external services through streamable HTTP
  • CLI and Web UI: Run agents via command line or web interface

What is the Pinecone MCP server, and what's possible with it?

The Pinecone MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Pinecone account. It provides structured and secure access so your agent can perform Pinecone operations on your behalf.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • A Google API key for Gemini models
  • A Composio account and API key
  • Python 3.9 or later installed
  • Basic familiarity with Python
2

Getting API Keys for Google and Composio

Google API Key
  • Go to Google AI Studio and create an API key.
  • Copy the key and keep it safe. You will put this in GOOGLE_API_KEY.
Composio API Key and User ID
  • Log in to the Composio dashboard.
  • Go to Settings → API Keys and copy your Composio API key. Use this for COMPOSIO_API_KEY.
  • Decide on a stable user identifier to scope sessions, often your email or a user ID. Use this for COMPOSIO_USER_ID.
3

Install dependencies

bash
pip install google-adk composio python-dotenv

Inside your virtual environment, install the required packages.

What's happening:

  • google-adk is Google's Agents Development Kit
  • composio connects your agent to Pinecone via MCP
  • python-dotenv loads environment variables
4

Set up ADK project

bash
adk create my_agent

Set up a new Google ADK project.

What's happening:

  • This creates an agent folder with a root agent file and .env file
5

Set environment variables

bash
GOOGLE_API_KEY=your-google-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id-or-email

Save all your credentials in the .env file.

What's happening:

  • GOOGLE_API_KEY authenticates with Google's Gemini models
  • COMPOSIO_API_KEY authenticates with Composio
  • COMPOSIO_USER_ID identifies the user for session management
6

Import modules and validate environment

python
import os
import warnings

from composio import Composio
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

load_dotenv()

warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")
What's happening:
  • os reads environment variables
  • Composio is the main Composio SDK client
  • GoogleProvider declares that you are using Google ADK as the agent runtime
  • Agent is the Google ADK LLM agent class
  • McpToolset lets the ADK agent call MCP tools over HTTP
7

Create Composio client and Tool Router session

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)

composio_session = composio_client.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["pinecone"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url,
print(f"Composio MCP URL: {COMPOSIO_MCP_URL}")
What's happening:
  • Authenticates to Composio with your API key
  • Declares Google ADK as the provider
  • Spins up a short-lived MCP endpoint for your user and selected toolkit
  • Stores the MCP HTTP URL for the ADK MCP integration
8

Set up the McpToolset and create the Agent

python
composio_toolset = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url=COMPOSIO_MCP_URL,
        headers={"x-api-key": COMPOSIO_API_KEY}
    )
)

root_agent = Agent(
    model="gemini-2.5-flash",
    name="composio_agent",
    description="An agent that uses Composio tools to perform actions.",
    instruction=(
        "You are a helpful assistant connected to Composio. "
        "You have the following tools available: "
        "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
        "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
        "Use these tools to help users with Pinecone operations."
    ),
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")
What's happening:
  • Connects the ADK agent to the Composio MCP endpoint through McpToolset
  • Uses Gemini as the model powering the agent
  • Lists exact tool names in instruction to reduce misnamed tool calls
9

Run the agent

bash
# Run in CLI mode
adk run my_agent

# Or run in web UI mode
adk web

Execute the agent from the project root. The web command opens a web portal where you can chat with the agent.

What's happening:

  • adk run runs the agent in CLI mode
  • adk web . opens a web UI for interactive testing

Complete Code

Here's the complete code to get you started with Pinecone and Google ADK:

python
import os
import warnings

from composio import Composio
from composio_google import GoogleProvider
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

load_dotenv()
warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

composio_client = Composio(api_key=COMPOSIO_API_KEY, provider=GoogleProvider())

composio_session = composio_client.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["pinecone"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url


composio_toolset = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url=COMPOSIO_MCP_URL,
        headers={"x-api-key": COMPOSIO_API_KEY}
    )
)

root_agent = Agent(
    model="gemini-2.5-flash",
    name="composio_agent",
    description="An agent that uses Composio tools to perform actions.",
    instruction=(
        "You are a helpful assistant connected to Composio. "
        "You have the following tools available: "
        "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
        "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
        "Use these tools to help users with Pinecone operations."
    ),  
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")

Conclusion

You've successfully integrated Pinecone with the Google ADK through Composio's MCP Tool Router. Your agent can now interact with Pinecone using natural language commands.

Key takeaways:

  • The Tool Router approach dynamically routes requests to the appropriate Pinecone tools
  • Environment variables keep your credentials secure and separate from code
  • Clear agent instructions reduce tool calling errors
  • The ADK web UI provides an interactive interface for testing and development

You can extend this setup by adding more toolkits to the toolkits array in your session configuration.

TOOLS

Supported Tools

Every Pinecone action and event your agent gets out of the box.

Cancel Bulk Import

Tool to cancel a bulk import operation in Pinecone.

Configure Index

Tool to configure an existing Pinecone index, including pod type, replicas, deletion protection, and tags.

Create Backup

Tool to create a backup of a Pinecone index for disaster recovery and version control.

Create Index

Tool to create a Pinecone index with specified configuration.

Create Index with Embedding Model

Tool to create a Pinecone index with integrated embedding model for automatic vectorization.

Create Index from Backup

Tool to create an index from a backup.

Create Namespace

Tool to create a namespace within a serverless Pinecone index.

Delete Index

Tool to permanently delete a Pinecone index.

Delete Namespace

Tool to permanently delete a namespace from a serverless index.

Describe Backup

Tool to retrieve detailed information about a specific backup.

Describe Bulk Import

Tool to describe a specific bulk import operation in Pinecone.

Describe Index Stats

Tool to get index statistics including vector count per namespace, dimensions, and fullness.

Describe Restore Job

Tool to get detailed information about a specific restore job in Pinecone.

Generate Embeddings

Tool to generate vector embeddings for input text using Pinecone's hosted embedding models.

Get Model Information

Tool to retrieve detailed information about a specific model hosted by Pinecone.

List Bulk Imports

Tool to list all recent and ongoing bulk import operations in Pinecone.

List Collections

Tool to list all collections in a Pinecone project (pod-based indexes only).

List Index Backups

Tool to list all backups for a specific Pinecone index.

List Indexes

Tool to list all indexes in a Pinecone project.

List Available Models

Tool to list all available embedding and reranking models hosted by Pinecone.

List Namespaces

Tool to list all namespaces in a serverless Pinecone index.

List Project Backups

Tool to list all backups for indexes in a Pinecone project.

List Restore Jobs

Tool to list all restore jobs for a project with pagination support.

List Vectors

Tool to list vector IDs in a Pinecone serverless index.

Query Vectors

Tool to perform semantic search within a Pinecone index using a query vector.

Rerank Documents

Tool to rerank documents by semantic relevance to a query.

Search Records in Namespace

Tool to search records within a Pinecone namespace using text, vector, or ID query.

Start Bulk Import

Tool to start an asynchronous bulk import of vectors from object storage (S3, GCS, or Azure Blob Storage) into a Pinecone index.

Update Vector

Tool to update a vector in Pinecone by ID.

Upsert Records to Namespace

Tool to upsert text records into a Pinecone namespace.

FRAMEWORKS

How to build Pinecone MCP Agent with another framework

ChatGPT logo

ChatGPT

Use Pinecone MCP with ChatGPT

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Pinecone MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Pinecone MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Pinecone MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Pinecone MCP with Claude Cowork

Codex logo

Codex

Use Pinecone MCP with Codex

Cursor logo

Cursor

Use Pinecone MCP with Cursor

OpenClaw logo

OpenClaw

Use Pinecone MCP with OpenClaw

Hermes logo

Hermes

Use Pinecone MCP with Hermes

CLI logo

CLI

Use Pinecone MCP with CLI

LangChain logo

LangChain

Use Pinecone MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Pinecone MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Pinecone MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Pinecone MCP with LlamaIndex

CrewAI logo

CrewAI

Use Pinecone MCP with CrewAI

OpenCode logo

OpenCode

Use Pinecone MCP with OpenCode

VS Code logo

VS Code

Use Pinecone MCP with VS Code

FAQ

Frequently asked questions

With a standalone Pinecone MCP server, the agents and LLMs can only access a fixed set of Pinecone tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Pinecone and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Google ADK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Pinecone tools.

Yes, absolutely. You can configure which Pinecone scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Pinecone data and credentials are handled as safely as possible.

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A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

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