FamilySearch API MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add FamilySearch API as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to FamilySearch API. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in FamilySearch API?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About FamilySearch API MCP Server
Empower your AI agent to orchestrate your entire genealogical research and ancestry auditing workflow with the FamilySearch API, the world's largest platform for family history. By connecting FamilySearch to your agent, you transform complex ancestor searches into a natural conversation. Your agent can instantly retrieve person details, audit pedigree charts, and query historical record collections without you ever touching a genealogy portal. Whether you are building your family tree or conducting deep-dive historical audits, your agent acts as a real-time genealogical consultant, ensuring your data is always verified and precise.
LlamaIndex agents combine FamilySearch API tool responses with indexed documents for comprehensive, grounded answers. Connect 6 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Person Auditing — Search for millions of persons in the FamilySearch global tree and retrieve detailed metadata, including lifespans and birth/death places.
- Pedigree Oversight — Audit the ancestry charts for specific individuals to maintain a clear view of lineage distribution and scale.
- Memories Discovery — Retrieve photos, stories, and documents associated with specific persons to identify relevant assets instantly.
- Record Intelligence — List available historical record collections to understand the organizational reach of global archives.
- Metadata Intelligence — Retrieve unique identifiers and display names for any genealogical record to assist in deep-dive classification.
The FamilySearch API MCP Server exposes 6 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect FamilySearch API to LlamaIndex via MCP
Follow these steps to integrate the FamilySearch API MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 6 tools from FamilySearch API
Why Use LlamaIndex with the FamilySearch API MCP Server
LlamaIndex provides unique advantages when paired with FamilySearch API through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine FamilySearch API tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain FamilySearch API tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query FamilySearch API, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what FamilySearch API tools were called, what data was returned, and how it influenced the final answer
FamilySearch API + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the FamilySearch API MCP Server delivers measurable value.
Hybrid search: combine FamilySearch API real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query FamilySearch API to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying FamilySearch API for fresh data
Analytical workflows: chain FamilySearch API queries with LlamaIndex's data connectors to build multi-source analytical reports
FamilySearch API MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect FamilySearch API to LlamaIndex via MCP:
check_api_status
Check if the FamilySearch API is operational
get_person_details
Get full details for a specific person in the family tree by ID
get_person_memories
Get memories (photos, stories) associated with a person
get_person_pedigree
Get the ancestry (pedigree) for a specific person
list_historical_collections
List historical record collections available on FamilySearch
search_persons
Search for persons in the FamilySearch Family Tree
Example Prompts for FamilySearch API in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with FamilySearch API immediately.
"Search for 'George Washington' in FamilySearch."
"Show the pedigree for person ID 'KWCX-S58'."
"List available memories for person ID 'LZDP-H7Z'."
Troubleshooting FamilySearch API MCP Server with LlamaIndex
Common issues when connecting FamilySearch API to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFamilySearch API + LlamaIndex FAQ
Common questions about integrating FamilySearch API MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect FamilySearch API with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect FamilySearch API to LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.