Try out the Wikipedia MCP Server and tools right away in a cloud-based Meshagent Room:
  1. Install Meshagent CLI
    pip install "meshagent[all]"
    
  2. Sign up and authenticate
    Follow instructions here: https://docs.meshagent.com/cli/getting_started
  3. Start the MCP server as a Room agent
    meshagent service test --room=test --role=agent --image=meshagent/mcp-wikipedia-mcp:latest --env MESHAGENT_PORT=8001 --port="num=8001 path=/webhook liveness=/ type=meshagent.callable" --name=mcp-wikipedia-mcp-service-test
    
    • This command creates a temporary Meshagent Room with an MCP Wikipedia server agent. The Room (and its agents/tools) are shut down automatically if inactive.
  4. Join the Room with a chatbot that uses the Wikipedia MCP tools
    meshagent chatbot join --room=test --agent-name=mcp-wikipedia-mcp --name=mcp-wikipedia-mcp --toolkit=mcp-wikipedia-mcp
    
    • This command starts a chatbot in the Room, ready to use the Wikipedia MCP toolkit. You can use multiple toolkits in a Room.
    • The command output will provide a link to access the Room.
  5. Interact with the MCP tools
    • Open the provided Room link in your browser and send messages to the agent chatbot. Try Wikipedia lookups and tool commands live!

Project Level Deployment: Always-On Wikipedia MCP Tools

For production-oriented scenarios, deploy the MCP server and a chatbot agent at the project level. This makes the tools available in every new Room, with no manual startup required.
  1. Create persistent MCP server service
    meshagent service create --role=agent --image=meshagent/mcp-wikipedia-mcp:latest --env MESHAGENT_PORT=8001 --port="num=8001 path=/webhook liveness=/ type=meshagent.callable" --name=mcp-wikipedia-mcp-service
    
  2. Create persistent chatbot agent service
    meshagent service create --image="meshagent/cli:latest" --port="num=9001 path=/agent liveness=/ type=meshagent.callable participant_name=mcp-wikipedia-mcp-chatbot" --env="MESHAGENT_PORT=9001" --name="mcp-wikipedia-mcp-chatbot-service" --command="meshagent chatbot service --agent-name=mcp-wikipedia-mcp-chatbot --toolkit=mcp-wikipedia-mcp"
    
Now, every time a new Meshagent Room is created in your project, the MCP Wikipedia tools and chatbot will be present—no need to run anything locally or set up each session.

Tools Available

The Wikipedia MCP Server offers the following toolkit for use via Meshagent Rooms and chatbots:

Tools Summary

Tools provided by this ServerShort Description
extract_key_factsExtract key facts from a Wikipedia article, optionally focused on a topic.
get_articleGet the full content of a Wikipedia article.
get_linksGet the links contained within a Wikipedia article.
get_related_topicsGet topics related to a Wikipedia article based on links and categories.
get_sectionsGet the sections of a Wikipedia article.
get_summaryGet a summary of a Wikipedia article.
search_wikipediaSearch Wikipedia for articles matching a query.
summarize_article_for_queryGet a summary of a Wikipedia article tailored to a specific query.
summarize_article_sectionGet a summary of a specific section of a Wikipedia article.

Tools Details

Tool: extract_key_facts

Extract key facts from a Wikipedia article, optionally focused on a topic.
ParametersTypeDescription
titlestring
countinteger (optional)
topic_within_articlestring (optional)

Tool: get_article

Get the full content of a Wikipedia article.
ParametersTypeDescription
titlestring

Get the links contained within a Wikipedia article.
ParametersTypeDescription
titlestring

Get topics related to a Wikipedia article based on links and categories.
ParametersTypeDescription
titlestring
limitinteger (optional)

Tool: get_sections

Get the sections of a Wikipedia article.
ParametersTypeDescription
titlestring

Tool: get_summary

Get a summary of a Wikipedia article.
ParametersTypeDescription
titlestring

Tool: search_wikipedia

Search Wikipedia for articles matching a query.
ParametersTypeDescription
querystring
limitinteger (optional)

Tool: summarize_article_for_query

Get a summary of a Wikipedia article tailored to a specific query.
ParametersTypeDescription
querystring
titlestring
max_lengthstring (optional)

Tool: summarize_article_section

Get a summary of a specific section of a Wikipedia article.
ParametersTypeDescription
section_titlestring
titlestring
max_lengthstring (optional)

Resources