StackOne plugin for Google ADK: Connect agents to 200+ SaaS providers
Project description
stackone-adk
Google ADK plugin for connecting agents to 200+ SaaS providers via StackOne.
StackOne provides a unified API gateway for HRIS, ATS, CRM, scheduling, and more. This plugin dynamically discovers available tools from StackOne's API and exposes them as native Google ADK tools, no hardcoded tool definitions needed.
Installation
pip install stackone-adk
Or with uv:
uv add stackone-adk
Configuration
StackOne API Key
Get your API key from the StackOne Dashboard.
# Environment variable (recommended)
export STACKONE_API_KEY="your-stackone-api-key"
Or pass directly:
plugin = StackOnePlugin(api_key="your-stackone-api-key")
Google API Key
Get your API key from Google AI Studio. This key is required to access Google's Gemini models.
export GOOGLE_API_KEY="your-google-api-key"
Quick Start
In standard ADK, you define tools as Python functions:
# Standard ADK — manual tool functions
def get_current_time(city: str) -> dict:
"""Returns the current time in a specified city."""
return {"status": "success", "city": city, "time": "10:30 AM"}
root_agent = Agent(
model="gemini-3.1-pro-preview",
name="root_agent",
tools=[get_current_time],
)
With StackOne, tools are discovered dynamically from your connected providers — no manual tool definitions needed:
import asyncio
from google.adk.agents import Agent
from google.adk.apps import App
from google.adk.runners import InMemoryRunner
from stackone_adk import StackOnePlugin
async def main():
# StackOne replaces manual tool functions
# Reads STACKONE_API_KEY from env and uses the specified account_id
plugin = StackOnePlugin(account_id="STACKONE_ACCOUNT_ID")
agent = Agent(
model="gemini-3.1-pro-preview",
name="stackone_agent",
instruction="You are an HR assistant with access to tools via StackOne.",
tools=plugin.get_tools(), # instead of: tools=[get_current_time]
)
app = App(name="stackone_app", root_agent=agent, plugins=[plugin])
async with InMemoryRunner(app=app) as runner:
response = await runner.run_debug("List the first 3 workers.")
print(response)
asyncio.run(main())
Usage Patterns
With App (Recommended)
from google.adk.apps import App
from google.adk.runners import InMemoryRunner
plugin = StackOnePlugin(account_id="STACKONE_ACCOUNT_ID")
agent = Agent(
model="gemini-3.1-pro-preview",
name="stackone_agent",
tools=plugin.get_tools(),
)
app = App(name="stackone_app", root_agent=agent, plugins=[plugin])
async with InMemoryRunner(app=app) as runner:
response = await runner.run_debug("List the first 3 workers")
With Runner Directly
from google.adk.runners import InMemoryRunner
plugin = StackOnePlugin(account_id="STACKONE_ACCOUNT_ID")
agent = Agent(
model="gemini-3.1-pro-preview",
name="stackone_agent",
tools=plugin.get_tools(),
)
async with InMemoryRunner(app_name="stackone_app", agent=agent) as runner:
response = await runner.run_debug("List the first 3 workers")
Plugin Configuration
| Parameter | Type | Default | Description |
|---|---|---|---|
api_key |
str | None |
None |
StackOne API key. Falls back to STACKONE_API_KEY env var. |
account_id |
str | None |
None |
Default account ID for all tools. |
base_url |
str | None |
None |
API URL override (default: https://api.stackone.com). |
plugin_name |
str |
"stackone_plugin" |
Plugin identifier for ADK. |
providers |
list[str] | None |
None |
Filter by provider names. |
actions |
list[str] | None |
None |
Filter by action patterns (supports globs). |
account_ids |
list[str] | None |
None |
Scope tools to specific account IDs. |
mode |
Literal["search_and_execute"] | None |
None |
Tool registration strategy. See Search and Execute mode. |
search |
SearchConfig | None |
None |
Search backend config. Only used when mode="search_and_execute". |
execute |
ExecuteToolsConfig | None |
None |
Execution config (account scoping, timeout). Only used when mode="search_and_execute". |
timeout |
float | None |
None |
Per-request timeout in seconds for tool execution. |
Search and Execute Mode
By default, StackOnePlugin registers every discovered tool with the agent — fine for one or two providers, but the LLM context balloons quickly when many SaaS accounts are connected. With mode="search_and_execute", the plugin registers exactly two meta tools (tool_search and tool_execute) and lets the model discover and invoke real tools on demand:
from stackone_adk import StackOnePlugin
plugin = StackOnePlugin(
mode="search_and_execute",
search={"method": "auto", "top_k": 5},
)
agent = Agent(
model="gemini-3.1-pro-preview",
name="multi_saas_agent",
tools=plugin.get_tools(),
)
When to use: more than ~5 connected providers, or whenever the full tool list would dominate the model's context window.
How it works: the LLM calls tool_search("...") to get a short list of candidate tools (name, description, parameter schema), then calls tool_execute(tool_name, parameters) with the chosen one. Both calls round-trip to StackOne's AI Integration Gateway via the SDK.
Notes:
providersandactionsfilters are ignored in this mode (scoping happens viaaccount_idsand the LLM's search query). A warning is logged if you pass them.- Search defaults to
{"method": "auto"}(semantic search with local BM25+TF-IDF fallback). Passsearch={"method": "semantic"}orsearch={"method": "local"}to force one backend. - The connector list embedded in the meta tools' descriptions is captured at plugin construction time. If you link new accounts after the plugin starts, restart the agent to pick them up.
See examples/search_and_execute_agent.py for a complete runnable example.
Tool Filtering
By Account ID (Recommended)
Scope tools to specific connected accounts. This is the recommended approach to ensure your agent only accesses the intended accounts:
# Single account
plugin = StackOnePlugin(account_id="STACKONE_ACCOUNT_ID")
# Multiple accounts
plugin = StackOnePlugin(account_ids=["acct-hibob-1", "acct-bamboohr-1"])
By Provider
Filter tools to specific SaaS providers:
# Single provider
plugin = StackOnePlugin(providers=["workday"])
# Multiple providers
plugin = StackOnePlugin(providers=["hibob", "bamboohr"])
By Action Pattern
Use glob patterns to filter specific actions:
# Read-only operations
plugin = StackOnePlugin(actions=["*_list_*", "*_get_*"])
# Specific actions
plugin = StackOnePlugin(actions=["workday_list_workers", "workday_get_worker*"])
Combining Filters
plugin = StackOnePlugin(
providers=["hibob", "bamboohr"],
actions=["*_list_*", "*_get_*"],
account_ids=["acct-hibob-1", "acct-bamboohr-1"],
)
Available Tools
Unlike plugins with a fixed set of tools, StackOne tools are dynamically discovered from your connected providers via the StackOne API. The available tools depend on which SaaS providers you have connected in your StackOne Dashboard. Print discovered tools:
plugin = StackOnePlugin(account_id="STACKONE_ACCOUNT_ID", providers=["workday"])
for tool in plugin.get_tools():
print(f"{tool.name}: {tool.description}")
Examples
See the examples/ directory:
| Example | Description |
|---|---|
workday_agent.py |
Default mode (registers all matching tools); demo uses actions=[...] to scope to 3 Workday actions |
search_and_execute_agent.py |
LLM-driven discovery via mode="search_and_execute", registers 2 tools |
Development
git clone https://github.com/StackOneHQ/stackone-adk-plugin.git
cd stackone-adk-plugin
pip install -e ".[dev]"
Run tests:
pytest
Lint and type check:
ruff check stackone_adk/ tests/
mypy stackone_adk/
Try an example (requires at least one provider connected in your StackOne Dashboard, e.g. Workday):
export STACKONE_API_KEY="your-stackone-api-key"
export STACKONE_ACCOUNT_ID="account-id"
export GOOGLE_API_KEY="your-google-api-key"
uv run examples/workday_agent.py
Releasing
Bump version in pyproject.toml and stackone_adk/__init__.py, update CHANGELOG.md, then:
rm -rf dist/ && uv build && UV_PUBLISH_TOKEN=<pypi-token> uv publish
git tag stackone-adk-vX.Y.Z && git push origin stackone-adk-vX.Y.Z
License
Apache 2.0 — see LICENSE.
References
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