toolbox-core
Python Base SDK for interacting with the Toolbox service
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has low install friction, carries a permissive license, and solves a specific integration problem for GenAI applications that need to consume tools from a Toolbox service. No known vulnerabilities. Install if you are building against an MCP Toolbox deployment.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a running MCP Toolbox service accessible at the specified URL; Python 3.10 or later.
- Low friction installation with a pure-Python wheel.
- Active maintenance with a recent release (17 days old) and an actively developed repository.
License · maintenance · safety
permissive license (permissive) — Licensed under Apache License 2.0 (permissive), allowing commercial and private use with minimal restrictions.
last release 2026-07-28 (17 days) · last repo commit 2026-08-14 · 191 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 437,575 downloads/mo, #6,666 on PyPI
Alternatives
Verify before relying
pip install toolbox-core
import asyncio
from toolbox_core import ToolboxClient
async def main():
async with ToolboxClient("http://127.0.0.1:5000") as toolbox:
tool = await toolbox.load_tool("get_weather")
result = await tool(location="London")
print(result)
asyncio.run(main())- Whether synchronous wrapper utilities are built-in or require manual wrapping for non-async contexts.
- Support scope for authentication methods beyond google-auth (e.g., API keys, custom tokens).
- Whether tool parameter binding supports complex nested structures or only scalar types.
What it is and what it does
Toolbox Core is a Python SDK that bridges your GenAI application to a running MCP Toolbox service, allowing you to load tool definitions from the service and invoke them as standard Python functions. It provides both async-first and synchronous interfaces, with built-in support for parameter binding, authentication (including google-auth integration), and OpenTelemetry observability.
The package depends on pydantic for data validation, aiohttp and requests for HTTP communication, and the deprecated library for backward compatibility. It targets modern Python versions (3.10 through 3.14) and is designed to be framework-agnostic, working standalone or integrated into frameworks like Langraph.
Use it for
- Load weather, calendar, or search tools from a Toolbox service and call them directly from a GenAI agent or chatbot.
- Integrate external tool definitions into a Langraph workflow without reimplementing tool interfaces.
- Build a multi-tenant GenAI application where tools are centrally managed in a Toolbox service and accessed by multiple clients.
- Add observability to tool invocations via OpenTelemetry without modifying tool definitions.
- Authenticate tool calls to a Toolbox service using google-auth or custom credentials.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has low install friction, carries a permissive license, and solves a specific integration problem for GenAI applications that need to consume tools from a Toolbox service. No known vulnerabilities. Install if you are building against an MCP Toolbox deployment.
Install
toolbox-core on PyPI
Before you install
Low friction installation with a pure-Python wheel. Active maintenance with a recent release (17 days old) and an actively developed repository.
Requires a running MCP Toolbox service accessible at the specified URL; Python 3.10 or later.
License in practice
Licensed under Apache License 2.0 (permissive), allowing commercial and private use with minimal restrictions.
Quickstart
pip install toolbox-core
import asyncio
from toolbox_core import ToolboxClient
async def main():
async with ToolboxClient("http://127.0.0.1:5000") as toolbox:
tool = await toolbox.load_tool("get_weather")
result = await tool(location="London")
print(result)
asyncio.run(main())Verify before relying
- Whether synchronous wrapper utilities are built-in or require manual wrapping for non-async contexts.
- Support scope for authentication methods beyond google-auth (e.g., API keys, custom tokens).
- Whether tool parameter binding supports complex nested structures or only scalar types.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagespydanticaiohttpdeprecatedgoogle-authrequests |
| Maintenance | Actively maintained 17 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 437,575 / month, #6,666 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 LicenseProgramming 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_core-1.3.0-py3-none-any.whl
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See also toolbox-adk · daytona_toolbox_api_client_async · pyobjc-framework-MediaToolbox · box-sdk-gen · kombo · frontegg · apimatic-core-interfaces · google-cloud-documentai-toolbox · opentelemetry-instrumentation-google-genai