toolbox-adk
Agent Development Kit Integration for MCP Toolbox
Decision gist · record as of 2026-08-14
Yes. This package is actively maintained, has low install friction, carries no known vulnerabilities, and uses a permissive Apache 2.0 license. Install it if you are building Google ADK agents and need access to MCP Toolbox tools. The recent release cadence and 191 GitHub stars indicate active development and community use.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Google authentication credentials must be configured for the ADK agent.
- Low install friction with a pure-Python wheel.
License · maintenance · safety
permissive license (permissive) — Licensed under Apache License 2.0 (permissive). You can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
last release 2026-07-29 (16 days) · last repo commit 2026-08-14 · 191 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 251,675 downloads/mo, #8,569 on PyPI
Alternatives
Verify before relying
pip install toolbox-adk
from toolbox_adk import ToolboxClient
client = ToolboxClient()
# Configure transport and authentication per documentation- Specific transport protocol options and their performance characteristics
- Whether OpenTelemetry integration is automatic or requires explicit setup
- Compatibility matrix with specific ADK and MCP Toolbox versions
What it is and what it does
toolbox-adk is a Python SDK that bridges Google's Agent Development Kit (ADK) with the MCP Toolbox, allowing agents built on ADK to directly invoke tools from the MCP Toolbox ecosystem. It acts as an integration layer that handles the protocol translation and authentication plumbing between the two frameworks.
The package is designed for developers building AI agents on Google ADK who need access to MCP Toolbox's tool catalog. It handles transport protocols, authentication (via google-auth and google-auth-oauthlib), and provides configuration hooks for advanced use cases like OpenTelemetry observability. The package is actively maintained and supports modern Python versions (3.10 through 3.14).
Use it for
- Integrate MCP Toolbox tools into Google ADK agents for expanded tool availability
- Build multi-tool AI agents that combine ADK capabilities with MCP Toolbox resources
- Set up authenticated tool access for agents requiring Google Cloud credentials
- Configure observability for agent-to-tool interactions via OpenTelemetry
- Develop agents that need both ADK-native and MCP Toolbox tools in a single codebase
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This package is actively maintained, has low install friction, carries no known vulnerabilities, and uses a permissive Apache 2.0 license. Install it if you are building Google ADK agents and need access to MCP Toolbox tools. The recent release cadence and 191 GitHub stars indicate active development and community use.
Install
toolbox-adk on PyPI
Before you install
Low install friction with a pure-Python wheel. Actively maintained as of 2026-08-14 with recent releases. Depends on toolbox-core, google-auth, google-auth-oauthlib, google-adk, and typing-extensions—all standard Google ecosystem packages.
Requires Python 3.10 or later. Google authentication credentials must be configured for the ADK agent.
License in practice
Licensed under Apache License 2.0 (permissive). You can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
Quickstart
pip install toolbox-adk
from toolbox_adk import ToolboxClient
client = ToolboxClient()
# Configure transport and authentication per documentationVerify before relying
- Specific transport protocol options and their performance characteristics
- Whether OpenTelemetry integration is automatic or requires explicit setup
- Compatibility matrix with specific ADK and MCP Toolbox versions
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagestoolbox-coregoogle-authgoogle-auth-oauthlibgoogle-adktyping-extensions |
| Maintenance | Actively maintained 16 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 251,675 / month, #8,569 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: toolbox_adk-1.3.1-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “google adk agent tools integration”
- toolbox-adkEnables Google ADK agents to natively use tools from the MCP Toolbox…
- ag_ui_adkBridges Google ADK agents to the AG-UI Protocol, enabling ADK-built…
- openinference-instrumentation-google-adkAuto-instruments Google ADK applications to emit…
Give your agent the search over MCP, or paste the wish link into any chat.
More Application Frameworks packages
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Textual is a Python framework for building cross-platform user interfaces that run in the terminal or web browser using a modern, component-based API.
Install it if you're developing CLI tools, dashboards, or interactive terminal applications.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Build and connect to Model Context Protocol servers that expose tools, resources, and prompts to LLM applications over stdio, HTTP, or SSE transports.
Install it if you need to build or connect to servers.
Werkzeug is a WSGI utility library providing request/response objects, URL routing, an interactive debugger, HTTP utilities, and a development server for building web applications.
See also google-adk · toolbox-core · ag_ui_adk · a2ui-agent-sdk · agent-framework-foundry · mcp-use · nvidia-nat-mcp · agent-utilities · agent-client-protocol · fast-agent-mcp