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How to integrate Fibery MCP with Google ADK

Connect Google ADK to Fibery MCP. List all open tasks for your team, fetch details for project entity by id, and more using natural language, with authentication handled for you.

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Fibery is a collaborative work management platform for organizing projects, documents, and knowledge. It helps teams streamline workflows and centralize information in one space.

23 Tools

Introduction

This guide walks you through connecting Fibery to Google ADK using the Composio tool router. By the end, you'll have a working Fibery agent that can create and update entities, run GraphQL queries, upload files, fetch your workspace schema, and count entities by type through natural language commands.

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

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

For exact tool slugs and parameter tables, see the tool catalog in the Composio docs.

Also integrate Fibery with

Claude CodeClaude CoworkOpenAI Agents SDKClaude Agent SDKCodexOpenClawHermesAtomic AgentLangChainVercel AI SDKMastra AILlamaIndexCrewAIPydantic AIAutoGen

TL;DR

Here's what you'll learn:
  • Get a Fibery account set up and connected to Composio
  • Install the Google ADK and Composio packages
  • Create a Composio Tool Router session for Fibery
  • Build an agent that connects to Fibery through MCP
  • Interact with Fibery 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 Fibery MCP server, and what's possible with it?

The Fibery MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Fibery account. It provides structured and secure access to your workspace data, so your agent can perform actions like querying entities, managing custom apps, running GraphQL queries, and organizing files—all with zero manual integration code.

  • Entity query and retrieval: Instantly fetch detailed information or lists of entities based on type, filters, and fields, making it easy to surface project or task data as needed.
  • Custom app and endpoint management: Let your agent list, inspect, or delete custom apps and endpoints, streamlining workspace configuration and app lifecycle management.
  • Flexible data manipulation with GraphQL: Execute custom GraphQL queries and mutations against your Fibery space to fetch, update, or manipulate structured data programmatically.
  • File and resource cleanup: Remove outdated files or entities efficiently, helping keep your workspace organized and clutter-free with automated deletions.
  • Authentication and workspace insights: Validate tokens securely and retrieve workspace or app metadata, ensuring your agent always operates with up-to-date context and permissions.

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 Fibery 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=["fibery"],
)

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 Fibery 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 Fibery 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=["fibery"],
)

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 Fibery operations."
    ),  
    tools=[composio_toolset],
)

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

Conclusion

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

Key takeaways:

  • The Tool Router approach dynamically routes requests to the appropriate Fibery 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 Fibery action and event your agent gets out of the box.

Delete Custom App Endpoint

Delete a custom app endpoint by app and endpoint IDs.

Delete Entity

Permanently delete a Fibery entity by its UUID and type.

Delete File

Delete a file from Fibery storage using its secret identifier.

Execute GraphQL Query

Execute GraphQL queries or mutations against a Fibery workspace.

Get App Information

Retrieve application information, including version, name, authentication methods and data sources when available.

Get Custom App Endpoints

List custom endpoints for a given Fibery app, for use when selecting an endpoint to invoke.

Get Custom Apps

List Fibery workspace app records and their identifiers, titles, names and versions, subject to a configurable limit that defaults to 100.

Get File

Download a file from Fibery by its secret or ID.

Get GraphQL Schema

Retrieve a Fibery GraphQL introspection response as a string to discover available types, fields and operations before composing queries.

Get User Preferences

Retrieve UI preferences from the first user returned by a Fibery user query.

Refresh access token

Check Fibery access credentials and return token information.

Validate Fibery authentication and get access token

Request an access token using an OAuth2 password grant or check the configured Fibery authorization.

Create Entity

Tool to create a new Fibery entity.

Count Entities by Type

Request a count of entities for a specified Fibery type or database, such as users or features.

Fetch Datalist Options

Fetch a page of options for a field of a Fibery entity type for uses such as filtering or dropdowns.

Fetch Schema

Fetch the complete schema metadata for a Fibery workspace.

Exchange OAuth2 authorization code

Request an OAuth2 authorization-code exchange for a Fibery custom integration, using the authorization code and redirect URI.

Delete/Revoke Access Token

Delete/revoke an existing Fibery API access token by its ID.

Validate Fibery Workspace Credentials

Test Fibery workspace credentials with a user query, supporting workspace tokens, API keys, basic auth and OAuth2.

Validate Filter

Check a filter definition for a Fibery data source before using it in a query.

Update Entity

Update fields on a Fibery entity of a specified type, including text, numbers, states and relations.

Update User Preferences

Update UI preferences for the first Fibery user returned by a workspace query.

Upload File

Upload a file to Fibery storage for later attachment to entities or use in documents.

FRAMEWORKS

How to build Fibery MCP Agent with another framework

Claude Code logo

Claude Code

Use Fibery MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Fibery MCP with Claude Cowork

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Fibery MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Fibery MCP with Claude Agent SDK

Codex logo

Codex

Use Fibery MCP with Codex

OpenClaw logo

OpenClaw

Use Fibery MCP with OpenClaw

Hermes logo

Hermes

Use Fibery MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Fibery MCP with Atomic Agent

LangChain logo

LangChain

Use Fibery MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Fibery MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Fibery MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Fibery MCP with LlamaIndex

CrewAI logo

CrewAI

Use Fibery MCP with CrewAI

Pydantic AI logo

Pydantic AI

Use Fibery MCP with Pydantic AI

AutoGen logo

AutoGen

Use Fibery MCP with AutoGen

FAQ

Frequently asked questions

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