Compatible with every major AI agent and IDE
Get data series on Knoema
Requires dataset ID and a list of mnemonics. Get specific data series
Get dataset metadata on Knoema
Critical for understanding what variables are available. Get metadata for a specific dataset
Get knoema resource on Knoema
Get a generic frontend resource
Get latest dataset data on Knoema
Get the most recent data points for a dataset
List data frequencies on Knoema
g., Annual, Quarterly, Monthly). List available data frequencies
List data topics on Knoema
g., Agriculture, Economy, Demographics). List all available data topics in Knoema
List data units on Knoema
g., Percentage, USD, Kilograms). List measurement units
List dataset regions on Knoema
) supported by a specific dataset. List regions available in a dataset
Search data series on Knoema
More granular than dataset search. Ideal for finding specific indicators. Search for specific data series across all datasets
Search datasets on Knoema
Returns dataset IDs and metadata. Use this to find the correct data source for your statistics. Search for datasets in Knoema
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
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.
Knoema Capabilities for AI Assistants
Use Knoema with any AI agent framework to process, analyze, and mutate data securely via the Model Context Protocol.
Prompting global statistics Workflows
Integrate global statistics features into your LLM framework using Knoema. The MCP server ensures precise command execution across your data analytics stack.
Optimizing time series data with Claude
Use the Knoema MCP to manage time series data requests. Models like Claude Code utilize this connection to perform reliable data analytics updates.
Knoema. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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.
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