How to Use the FamilySearch API MCP in AutoGen

Q: Can AutoGen agents collaborate to build family trees using the FamilySearch API?

Yes. One agent can call getpersonpedigree to fetch the family tree, while another agent uses getpersonmemories to gather supporting documents, debating the validity of each link.

Let specialized AutoGen agents debate and verify historical records using this MCP server.

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Connect FamilySearch API MCP to AutoGen

Create your Vinkius account to connect FamilySearch API 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.

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Setup FamilySearch API with AutoGen

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Verify records via AutoGen agent debate

This MCP server exposes `search_persons` to your AutoGen agent conversations, allowing multiple agents to cross-reference search results. One agent can locate potential ancestors while another analyzes the match quality. By calling `get_person_details`, your agents can dissect specific biographical records. Trust me on this, you want them checking the payload before drawing conclusions.

Resolve pedigree conflicts with multi-agent consensus

The `get_person_pedigree` tool feeds structured ancestral lines directly into AutoGen multi-agent workflows. When lineages conflict, your specialized agents can compare different branches and flag inconsistencies. They can also run `check_api_status` to confirm the external service is active before starting complex discussions. Running this check prevents your agent loop from hanging on unresponsive network requests.

Analyze historical collections and memories

Use `get_person_memories` to let your AutoGen agents extract and discuss photos and written stories of family members. A writer agent can draft biographies while a critic agent verifies details against known facts. The `list_historical_collections` tool allows agents to identify which record databases are relevant to a specific time period. This focuses the research efforts and prevents agents from querying irrelevant archives.

Setup guide

Set up FamilySearch API 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 includes mcp_server_tools for 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 AssistantAgent and call agent.run(). The agent invokes FamilySearch API tools and returns structured results.

agent.py

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="FamilySearch API_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent FamilySearch API data")
print(result.messages[-1].content)

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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. McpWorkbench is 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=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

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="FamilySearch API_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent FamilySearch API data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FamilySearch API. 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 FamilySearch API MCP in AutoGen

You register the tools with your AutoGen AssistantAgent using the MCP tool adapter. The agents then call `search_persons` or `get_person_details` during their multi-agent conversations to retrieve live records.

Yes. One agent can call `get_person_pedigree` to fetch the family tree, while another agent uses `get_person_memories` to gather supporting documents, debating the validity of each link.

The AutoGen MCP adapter handles all schema conversions automatically. When your agent decides to run `list_historical_collections`, the adapter translates the tool definition into the format AutoGen expects.

This server supports both stdio and streamable HTTP transports. You can configure it using the AutoGen extension package to connect your agents to the Vinkius managed endpoint.

No. The genealogical data, including names, dates, and memories, is processed locally within your secure V8 sandbox. Your API keys are encrypted, ensuring no external agents or platforms can access your private research.

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