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Asian Development Bank MCP Server for CrewAI 3 tools — connect in under 2 minutes

Built by Vinkius GDPR 3 Tools Framework

Connect your CrewAI agents to Asian Development Bank through Vinkius, pass the Edge URL in the `mcps` parameter and every Asian Development Bank tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Vinkius supports streamable HTTP and SSE.

python
from crewai import Agent, Task, Crew

agent = Agent(
    role="Asian Development Bank Specialist",
    goal="Help users interact with Asian Development Bank effectively",
    backstory=(
        "You are an expert at leveraging Asian Development Bank tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Asian Development Bank "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 3 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
Asian Development Bank
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

When paired with CrewAI, Asian Development Bank becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Asian Development Bank tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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.
Zero authentication required. Covers the full breadth of ADB member economies from Afghanistan to Vanuatu. Essential for macro analysts, fund managers, trade consultants, and policy researchers focused on the Asia-Pacific.

The Asian Development Bank MCP Server exposes 3 tools through the Vinkius. Connect it to CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Asian Development Bank MCP Server with CrewAI.

01

Install CrewAI

Run pip install crewai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Customize the agent

Adjust the role, goal, and backstory to fit your use case

04

Run the crew

Run python crew.py. CrewAI auto-discovers 3 tools from Asian Development Bank

Why Use CrewAI with the Asian Development Bank MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Asian Development Bank through the Model Context Protocol.

01

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

02

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

03

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

04

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Asian Development Bank + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Asian Development Bank MCP Server delivers measurable value.

01

Automated multi-step research: a reconnaissance agent queries Asian Development Bank for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

02

Scheduled intelligence reports: set up a crew that periodically queries Asian Development Bank, analyzes trends over time, and generates executive briefings in markdown or PDF format

03

Multi-source enrichment pipelines: chain Asian Development Bank tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

04

Compliance and audit automation: a compliance agent queries Asian Development Bank against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Asian Development Bank MCP Tools for CrewAI (3)

These 3 tools become available when you connect Asian Development Bank to CrewAI via MCP:

01

get_gdp_asia

Economy codes: PRC, JPN, IND, KOR, INO, THA, VIE, PHI. Get GDP data for Asia-Pacific economies

02

get_inflation_asia

Economy codes: PRC, JPN, IND, KOR, INO, THA, VIE, PHI. Get consumer price inflation rates for Asia-Pacific

03

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 CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Asian Development Bank immediately.

01

"What is the GDP of China, Japan, and India from 2020 onwards?"

02

"Compare inflation rates between Southeast Asian countries over the last 5 years."

Troubleshooting Asian Development Bank MCP Server with CrewAI

Common issues when connecting Asian Development Bank to CrewAI through the Vinkius, and how to resolve them.

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Asian Development Bank + CrewAI FAQ

Common questions about integrating Asian Development Bank MCP Server with CrewAI.

01

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
02

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
03

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
04

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
05

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.

Connect Asian Development Bank to CrewAI

Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.