Japan e-Stat MCP Server for LlamaIndex 2 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Japan e-Stat as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 Japan e-Stat. "
"You have 2 tools available."
),
)
response = await agent.run(
"What tools are available in Japan e-Stat?"
)
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 Japan e-Stat MCP Server
The Japan e-Stat MCP Server connects your AI agent to the official Portal of Government Statistics of Japan — the most comprehensive public data repository for the world's third-largest economy.
LlamaIndex agents combine Japan e-Stat tool responses with indexed documents for comprehensive, grounded answers. Connect 2 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.
Core Capabilities
- Table Search — Discover statistical tables across all Japanese government ministries by keyword. Covers census data, national accounts, industrial production, foreign trade, labor force surveys, and more.
- Data Retrieval — Pull raw numerical data from any table, fully classified by category, geographic area, and time period.
- English Support — The API supports
lang=Efor English-translated table names and categories where available.
The Japan e-Stat MCP Server exposes 2 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 Japan e-Stat to LlamaIndex via MCP
Follow these steps to integrate the Japan e-Stat 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 2 tools from Japan e-Stat
Why Use LlamaIndex with the Japan e-Stat MCP Server
LlamaIndex provides unique advantages when paired with Japan e-Stat through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Japan e-Stat tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Japan e-Stat tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Japan e-Stat, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Japan e-Stat tools were called, what data was returned, and how it influenced the final answer
Japan e-Stat + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Japan e-Stat MCP Server delivers measurable value.
Hybrid search: combine Japan e-Stat real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Japan e-Stat 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 Japan e-Stat for fresh data
Analytical workflows: chain Japan e-Stat queries with LlamaIndex's data connectors to build multi-source analytical reports
Japan e-Stat MCP Tools for LlamaIndex (2)
These 2 tools become available when you connect Japan e-Stat to LlamaIndex via MCP:
get_japan_stats_data
Use search_japan_statistics first to find the correct table ID. Returns category-classified data with time periods, areas, and values. Retrieve statistical data from a specific Japanese Government e-Stat table
search_japan_statistics
Returns table IDs, organization names, titles, and survey dates. Use the returned table ID with get_japan_stats_data to retrieve actual numbers. Keywords work in both English and Japanese. Common topics: population, GDP, industry, trade, employment, tourism, education, health. Search for statistical tables in the Japanese Government e-Stat database
Example Prompts for Japan e-Stat in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Japan e-Stat immediately.
"Find Japanese population statistics by prefecture."
"Fetch the latest Consumer Price Index (CPI) data for Tokyo."
"Show me the industrial production index for the automotive sector."
Troubleshooting Japan e-Stat MCP Server with LlamaIndex
Common issues when connecting Japan e-Stat to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpJapan e-Stat + LlamaIndex FAQ
Common questions about integrating Japan e-Stat 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 Japan e-Stat with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Japan e-Stat to LlamaIndex
Get your token, paste the configuration, and start using 2 tools in under 2 minutes. No API key management needed.
