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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.

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Google ADK

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.

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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.

Setup guide

Set up Beeceptor MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 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.

agent.py
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.

Why Choose Vinkius

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Common questions about Beeceptor MCP in Google ADK

Install the package and configure McpToolset using your Vinkius connection URL. Pass this toolset directly into the tools list of your LlmAgent to expose all mock management features.
Absolutely. You can fetch massive request histories using list_requests and pass the entire payload log directly into Gemini's million-token context window to locate transient bugs.
Yes, the toolset supports both Stdio and HTTP transports. For hosted Vinkius environments, you will use the HTTP transport to securely connect your local agent to the cloud mock server.
Use the tool_names filter when initializing your toolset to exclude dangerous commands. Removing delete_all_rules from the exposed list ensures your agent can never wipe your mock configurations.
Your OpenAPI files and mTLS certificates are processed inside ephemeral, zero-trust sandboxes. Vinkius handles the authentication tokens, preventing credentials from leaking into your Google Cloud logs.

Start using the Beeceptor MCP today

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