Asian Development Bank MCP Server for LlamaIndex 3 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Asian Development Bank 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 Asian Development Bank. "
"You have 3 tools available."
),
)
response = await agent.run(
"What tools are available in Asian Development Bank?"
)
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 Asian Development Bank MCP Server
The Asian Development Bank MCP Server connects your AI agent to the official Key Indicators Database (KIDB) maintained by the ADB — the principal multilateral development finance institution for the Asia-Pacific region.
LlamaIndex agents combine Asian Development Bank tool responses with indexed documents for comprehensive, grounded answers. Connect 3 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
- GDP & National Accounts — Track economic output, growth rates, and GDP deflators across China, Japan, India, South Korea, and 45 other economies.
- Inflation & Consumer Prices — Monitor CPI-based inflation trends that drive monetary policy in the world's fastest-growing markets.
- Trade & Balance of Payments — Analyze import/export volumes and current account balances across the entire ASEAN corridor and beyond.
- Shortcut Tools — Dedicated quick-access endpoints for GDP and inflation that require only economy codes and a start year.
The Asian Development Bank MCP Server exposes 3 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 Asian Development Bank to LlamaIndex via MCP
Follow these steps to integrate the Asian Development Bank 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 3 tools from Asian Development Bank
Why Use LlamaIndex with the Asian Development Bank MCP Server
LlamaIndex provides unique advantages when paired with Asian Development Bank through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Asian Development Bank tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Asian Development Bank tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Asian Development Bank, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Asian Development Bank tools were called, what data was returned, and how it influenced the final answer
Asian Development Bank + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Asian Development Bank MCP Server delivers measurable value.
Hybrid search: combine Asian Development Bank real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Asian Development Bank 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 Asian Development Bank for fresh data
Analytical workflows: chain Asian Development Bank queries with LlamaIndex's data connectors to build multi-source analytical reports
Asian Development Bank MCP Tools for LlamaIndex (3)
These 3 tools become available when you connect Asian Development Bank to LlamaIndex via MCP:
get_gdp_asia
Economy codes: PRC, JPN, IND, KOR, INO, THA, VIE, PHI. Get GDP data for Asia-Pacific economies
get_inflation_asia
Economy codes: PRC, JPN, IND, KOR, INO, THA, VIE, PHI. Get consumer price inflation rates for Asia-Pacific
query_adb_indicators
Dataflow IDs: ADB,EO_NA (GDP), ADB,EO_INF (Inflation), ADB,EO_BOP (Trade). Common indicators: NGDP_XDC (GDP), PCPI_PCH (CPI). Economy codes: PRC, JPN, IND, KOR, INO, PHI, THA, VIE. Use + to combine. Query macroeconomic indicators from the Asian Development Bank
Example Prompts for Asian Development Bank in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Asian Development Bank immediately.
"What is the GDP of China, Japan, and India from 2020 onwards?"
"Compare inflation rates between Southeast Asian countries over the last 5 years."
Troubleshooting Asian Development Bank MCP Server with LlamaIndex
Common issues when connecting Asian Development Bank to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAsian Development Bank + LlamaIndex FAQ
Common questions about integrating Asian Development Bank 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?
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Connect Asian Development Bank to LlamaIndex
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.