Knoema MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Knoema through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"knoema": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Knoema Agent",
instructions:
"You help users interact with Knoema " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Knoema?"
);
console.log(result.text);
}
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 Knoema MCP Server
Connect your AI agent to Knoema, the most comprehensive source of global decision-making data.
Mastra's agent abstraction provides a clean separation between LLM logic and Knoema tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Knoema MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Knoema via MCP
Why Use Mastra AI with the Knoema MCP Server
Mastra AI provides unique advantages when paired with Knoema through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Knoema without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Knoema tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Knoema + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Knoema MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Knoema, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Knoema as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Knoema on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Knoema tools alongside other MCP servers
Knoema MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Knoema to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Knoema to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpKnoema + Mastra AI FAQ
Common questions about integrating Knoema MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Knoema 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 Knoema to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.