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Wikipedia

Article summaries, search, and section content from Wikipedia — the free encyclopedia.

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status: healthy status status healthy healthy tools: 4 tools tools 4 4 type: api wrapper type type api wrapper api wrapper lifecycle: flagship lifecycle lifecycle flagship flagship Reference

Data source: Wikimedia Foundation

MCP Endpoint (Streamable HTTP) https://context.gnist.ai/mcp/wikipedia/
Authentication

All requests require a Gnist-API-Key header (or api_key query parameter).

Free tier: 100 calls/day. Get your API key.

Tools (4)

search_articles

Search Wikipedia articles by keyword.

Finds articles matching the query and returns titles, snippets, and metadata.

Examples:
search_articles("quantum computing") -> articles about quantum computing
search_articles("Norwegian fjords", limit=10) -> articles about fjords in Norway

Returns:
List of matching articles with title, snippet, page_id, and word_count.

ParameterTypeRequiredDescription
querystringrequiredSearch query — keywords or phrases to find Wikipedia articles.
limitintegeroptionalMax results to return (default 5, max 20). (default: 5)
JSON-RPC Request
{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "id": 1,
  "params": {
    "name": "search_articles",
    "arguments": {
      "query": "example"
    }
  }
}
get_article_summary

Get a concise summary of a Wikipedia article.

Returns the article's lead paragraph, description, thumbnail image,
and URL. Fast way to get key facts about any topic.

Examples:
get_article_summary("Python (programming language)") -> Python summary
get_article_summary("Albert Einstein") -> Einstein biography summary

Returns:
Article title, description, extract (plain text summary), page URL, and thumbnail.

ParameterTypeRequiredDescription
titlestringrequiredWikipedia article title (e.g. 'Artificial intelligence', 'Oslo').
JSON-RPC Request
{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "id": 1,
  "params": {
    "name": "get_article_summary",
    "arguments": {
      "title": "example"
    }
  }
}
get_article_sections

Get the full section structure and content of a Wikipedia article.

Returns all sections with headings and plain text content. Useful when
you need detailed information from specific parts of an article.

Examples:
get_article_sections("Climate change") -> all sections about climate change
get_article_sections("History of Norway") -> detailed Norwegian history by section

Returns:
List of sections with heading, level, and plain text content.

ParameterTypeRequiredDescription
titlestringrequiredWikipedia article title (e.g. 'Machine learning', 'Norway').
JSON-RPC Request
{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "id": 1,
  "params": {
    "name": "get_article_sections",
    "arguments": {
      "title": "example"
    }
  }
}
report_feedback

Report a bug, feature request, or general feedback for this data source.

Use this when something doesn't work as expected, when you'd like
a new feature, or when you have suggestions for improvement.

Args:
feedback: Describe the issue or suggestion.
feedback_type: One of 'bug', 'feature_request', or 'general'.

ParameterTypeRequiredDescription
feedbackstringrequired
feedback_typestringoptional (default: "general")
JSON-RPC Request
{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "id": 1,
  "params": {
    "name": "report_feedback",
    "arguments": {
      "feedback": "example"
    }
  }
}

Quick Start

Shell
curl -X POST "https://context.gnist.ai/mcp/wikipedia/" \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -H "Gnist-API-Key: YOUR_API_KEY" \
  -d '{"jsonrpc": "2.0", "method": "tools/call", "id": 1, "params": {"name": "search_articles", "arguments": {"query": "example"}}}'
Python
import httpx

resp = httpx.post(
    "https://context.gnist.ai/mcp/wikipedia/",
    headers={"Gnist-API-Key": "YOUR_API_KEY", "Content-Type": "application/json"},
    json={
  "jsonrpc": "2.0",
  "method": "tools/call",
  "id": 1,
  "params": {
    "name": "search_articles",
    "arguments": {
      "query": "example"
    }
  }
},
)
print(resp.json())

Related Toolkits (Reference)

Resources