How to Use the Beeceptor MCP in Google ADK
Connect Gemini agents to Beeceptor using Google ADK to analyze and modify mock APIs with long-context reasoning.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Beeceptor MCP to Google ADK
Create your Vinkius account to connect Beeceptor to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Manage mock configurations using Google ADK
`bulk_replace_rules` replaces your entire mock setup with a single API call. This MCP Server gives your Gemini agent the power to swap out entire mock environments when switching test scenarios. If you need to tweak a single behavior, the agent uses `update_rule_partial` to modify headers or status codes. It allows your pipeline to simulate slow responses or network errors on demand.
Track stateful API mock behaviors
`upsert_state` stores persistent key-value pairs directly inside your mock endpoints. This lets your agent build stateful mock APIs using this MCP Server to mimic a real database. Your agent can read the current mock state using `list_state` or clear old keys with `delete_state`. It makes testing complex multi-step workflows like shopping carts or user registration highly reliable.
Upload and validate API specifications
`upload_spec` sends OpenAPI definitions to Beeceptor for instant mock generation. This tool lets your agent turn a design file into a working mock endpoint in seconds. The agent checks the upload progress using `get_job_status` and retrieves the final configuration via `get_spec_details`. It keeps your mock server perfectly aligned with your latest API designs.
Set up Beeceptor MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 4
Run with any Gemini model
The agent works with any Gemini model (
gemini-2.0-flash,gemini-2.5-pro, etc.). Copy the full example on the right to get started with Beeceptor tools in your ADK agent.
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams
# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
connection_params=SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
)
# Create your agent with auto-discovered tools
agent = LlmAgent(
name="Beeceptor_agent",
model="gemini-2.0-flash",
instruction="You have access to Beeceptor tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Beeceptor. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Beeceptor MCP in Google ADK
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