How to Use the Firebase (REST & Admin APIs) MCP in AutoGen
Let AutoGen agents debate user management and database updates before committing changes to Firebase REST APIs.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Firebase (REST & Admin APIs) MCP to AutoGen
Create your Vinkius account to connect Firebase (REST & Admin APIs) to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
AutoGen multi-agent consensus on database writes
This MCP Server provides `firestore_create_doc` and `firestore_patch_doc` to let AutoGen agents coordinate data modifications. A writer agent proposes a document structure, while a validator agent reviews the fields against your schema before executing the write. This collaborative process prevents malformed data from reaching Firestore. The agents debate the payload structure in their conversation history, ensuring only validated JSON reaches your production database.
Secure user provisioning through agent discussion
The server exposes `auth_sign_up` and `auth_lookup` to allow agents to manage user accounts. A provisioning agent requests user details, while a security agent checks if the email domain matches your organization's whitelist. Once both agents agree, the tool executes the sign-up operation. This architecture ensures that user creation is never automated blindly, adding a layer of deliberative security to your user management workflows.
Realtime state synchronization across agent conversations
This toolset includes `rtdb_put` and `rtdb_patch` to update your application's shared state. When the agent group reaches a decision, they write the finalized state to the Realtime Database to notify external clients. This keeps your frontend in sync with the multi-agent discussion. The agents use patch operations to update specific UI flags without overwriting other active database nodes.
Set up Firebase (REST & Admin APIs) MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Firebase (REST & Admin APIs) tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="Firebase (REST & Admin APIs)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Firebase (REST & Admin APIs) data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Firebase (REST & Admin APIs)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Firebase (REST & Admin APIs) data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Firebase. 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 Firebase (REST & Admin APIs) MCP in AutoGen
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