Where do I get my Knoema API credentials?

Visit the **Knoema Developer Portal** (knoema.com/dev), create an application, and you will receive a Client ID and Client Secret.

How can I find a specific dataset ID?

Use the `search_datasets` tool with relevant keywords. The tool will return a list of matching datasets along with their unique IDs.

What is a mnemonic in Knoema?

A mnemonic is a short, human-readable code used to identify a specific data series within a dataset (e.g., 'NGDP' for Nominal GDP).

Knoema MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Knoema
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Knoema as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="knoema_agent",
    instruction=(
        "You help users interact with Knoema "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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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 Knoema MCP Server

Connect your AI agent to Knoema, the most comprehensive source of global decision-making data.

Google ADK natively supports Knoema as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Dataset Discovery — Search through millions of datasets from official sources like IMF, World Bank, and UN
Data Retrieval — Fetch precise time-series data using mnemonics for your analysis and forecasting
Metadata Auditing — Get detailed information about data sources, units, and frequencies
Granular Search — Find specific indicators (e.g., GDP, CPI, Crude Oil Price) across multiple providers
Visualization Support — Access atlas and dashboard resources for visual data context

Use Cases

Economic Analysis — gather historical and current macro indicators for market research
Business Planning — use demographic and sector data to inform strategy
Scientific Research — find environmental and social datasets for academic or professional studies

The Knoema MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK 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 Knoema to Google ADK via MCP

Follow these steps to integrate the Knoema MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Knoema via MCP

Why Use Google ADK with the Knoema MCP Server

Google ADK provides unique advantages when paired with Knoema through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Knoema

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Knoema tools with BigQuery, Vertex AI, and Cloud Functions

Knoema + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Knoema MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Knoema and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Knoema tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Knoema regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Knoema

Knoema MCP Tools for Google ADK (10)

These 10 tools become available when you connect Knoema to Google ADK via MCP:

get_data_series

Requires dataset ID and a list of mnemonics. Get specific data series

get_dataset_metadata

Critical for understanding what variables are available. Get metadata for a specific dataset

get_knoema_resource

Get a generic frontend resource

get_latest_dataset_data

Get the most recent data points for a dataset

list_data_frequencies

g., Annual, Quarterly, Monthly). List available data frequencies

list_data_topics

g., Agriculture, Economy, Demographics). List all available data topics in Knoema

list_data_units

g., Percentage, USD, Kilograms). List measurement units

list_dataset_regions

) supported by a specific dataset. List regions available in a dataset

search_data_series

More granular than dataset search. Ideal for finding specific indicators. Search for specific data series across all datasets

search_datasets

Returns dataset IDs and metadata. Use this to find the correct data source for your statistics. Search for datasets in Knoema

Example Prompts for Knoema in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Knoema immediately.

"Search for datasets about renewable energy in Europe"

"Get the metadata for dataset 'IMFWEOS2024Oct'"

"Search for crude oil price series"

Troubleshooting Knoema MCP Server with Google ADK

Common issues when connecting Knoema to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Knoema + Google ADK FAQ

Common questions about integrating Knoema MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.