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Wikidata MCP Server for AutoGenGive AutoGen instant access to 8 tools to Create Statement, Execute Sparql, Get Item, and more

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Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Wikidata as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Ask AI about this MCP Server for AutoGen

The Wikidata MCP Server for AutoGen is a standout in the The Unthinkable category — giving your AI agent 8 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="wikidata_agent",
            tools=tools,
            system_message=(
                "You help users with Wikidata. "
                "8 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())
Wikidata
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* 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 Wikidata MCP Server

Connect to Wikidata, the central storage for structured data of Wikimedia projects. This MCP server allows your AI agent to tap into millions of items, properties, and statements using both traditional SPARQL queries and modern vector-based semantic search.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Wikidata tools. Connect 8 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

What you can do

  • Entity Retrieval — Fetch full data and statements for any Wikidata Item (e.g., Q42) using the get_item and get_item_statements tools.
  • Advanced Querying — Execute complex SPARQL queries against the Wikidata Query Service (WDQS) with execute_sparql to find relationships and patterns across the entire graph.
  • Semantic Search — Use search_items_vector and search_properties_vector to find entities and properties based on meaning rather than just exact keywords.
  • Data Contribution — Update the knowledge graph by creating statements or setting descriptions with create_statement and set_item_description (requires OAuth).
  • Similarity Analysis — Compare text strings against specific entities to get semantic similarity scores using get_similarity_score.

The Wikidata MCP Server exposes 8 tools through the Vinkius. Connect it to AutoGen in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 8 Wikidata tools available for AutoGen

When AutoGen connects to Wikidata through Vinkius, your AI agent gets direct access to every tool listed below — spanning knowledge-graph, sparql, structured-data, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create statement on Wikidata

Requires OAuth 2.0 Access Token. Create a new statement for an Item

execute

Execute sparql on Wikidata

Use hint:Query hint:optimizer "None" if queries timeout. Execute a SPARQL query

get

Get item on Wikidata

g., Q42) via the Wikibase REST API. Retrieve a specific Wikidata Item

get

Get item statements on Wikidata

Retrieve statements for a Wikidata Item

get

Get similarity score on Wikidata

Compute similarity between text and an entity

search

Search items vector on Wikidata

Hybrid vector/keyword search for Items

search

Search properties vector on Wikidata

Hybrid vector/keyword search for Properties

set

Set item description on Wikidata

Requires OAuth 2.0 Access Token. Set an Item description

Connect Wikidata to AutoGen via MCP

Follow these steps to wire Wikidata into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install AutoGen

Run pip install "autogen-ext[mcp]"
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration
04

Explore tools

The workbench discovers 8 tools from Wikidata automatically

Why Use AutoGen with the Wikidata MCP Server

AutoGen provides unique advantages when paired with Wikidata through the Model Context Protocol.

01

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Wikidata tools to solve complex tasks

02

Role-based architecture lets you assign Wikidata tool access to specific agents. a data analyst queries while a reviewer validates

03

Human-in-the-loop support: agents can pause for human approval before executing sensitive Wikidata tool calls

04

Code execution sandbox: AutoGen agents can write and run code that processes Wikidata tool responses in an isolated environment

Wikidata + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Wikidata MCP Server delivers measurable value.

01

Collaborative analysis: one agent queries Wikidata while another validates results and a third generates the final report

02

Automated review pipelines: a researcher agent fetches data from Wikidata, a critic agent evaluates quality, and a writer produces the output

03

Interactive planning: agents negotiate task allocation using Wikidata data to make informed decisions about resource distribution

04

Code generation with live data: an AutoGen coder agent writes scripts that process Wikidata responses in a sandboxed execution environment

Example Prompts for Wikidata in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Wikidata immediately.

01

"Search for Wikidata items related to 'artificial neural networks' using vector search."

02

"Run a SPARQL query to find the 5 most populated cities in Brazil."

03

"Get all statements for the Wikidata item Q42."

Troubleshooting Wikidata MCP Server with AutoGen

Common issues when connecting Wikidata to AutoGen through Vinkius, and how to resolve them.

01

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Wikidata + AutoGen FAQ

Common questions about integrating Wikidata MCP Server with AutoGen.

01

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Wikidata tools during their conversation turns.
02

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
03

Does AutoGen support human approval for tool calls?

Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.

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