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 LangChain 10 tools — connect in under 2 minutes

Name: Knoema
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Knoema through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "knoema": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Knoema, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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.

LangChain's ecosystem of 500+ components combines seamlessly with Knoema through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Knoema MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Knoema via MCP

Why Use LangChain with the Knoema MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Knoema MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Knoema queries for multi-turn workflows

Knoema + LangChain Use Cases

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

RAG with live data: combine Knoema tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Knoema, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Knoema tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Knoema tool call, measure latency, and optimize your agent's performance

Knoema MCP Tools for LangChain (10)

These 10 tools become available when you connect Knoema to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Knoema + LangChain FAQ

Common questions about integrating Knoema MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.