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Wikipedia MCP Server

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A Model Context Protocol (MCP) server that retrieves information from Wikipedia to provide context to Large Language Models (LLMs). This tool helps AI assistants access factual information from Wikipedia to ground their responses in reliable sources.

Wikipedia Server MCP server

image

Overview

The Wikipedia MCP server provides real-time access to Wikipedia information through a standardized Model Context Protocol interface. This allows LLMs to retrieve accurate and up-to-date information directly from Wikipedia to enhance their responses.

Verified By

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Features

  • Search Wikipedia: Find articles matching specific queries
  • Retrieve Article Content: Get full article text with all information
  • Article Summaries: Get concise summaries of articles
  • Section Extraction: Retrieve specific sections from articles
  • Link Discovery: Find links within articles to related topics
  • Related Topics: Discover topics related to a specific article
  • Revision History: Access complete edit history of Wikipedia pages with user details and changes
  • User Contributions: Track all contributions made by specific Wikipedia users
  • Revision Comparison: Compare different versions of articles to see what changed
  • Page Creator Discovery: Find out who originally created a Wikipedia page
  • Talk Page Access: Retrieve Wikipedia talk pages and discussion content
  • Edit Spike Detection: Statistically detect periods of unusual editing activity using z-scores
  • Significance Analysis: Identify the most important edits using weighted scoring algorithms
  • Controversy Detection: Discover edit wars, reverts, and contentious periods in article history
  • Multi-language Support: Access Wikipedia in different languages by specifying the --language or -l argument when running the server (e.g., wikipedia-mcp --language ta for Tamil).
  • Country/Locale Support: Use intuitive country codes like --country US, --country China, or --country TW instead of language codes. Automatically maps to appropriate Wikipedia language variants.
  • Language Variant Support: Support for language variants such as Chinese traditional/simplified (e.g., zh-hans for Simplified Chinese, zh-tw for Traditional Chinese), Serbian scripts (sr-latn, sr-cyrl), and other regional variants.
  • Optional caching: Cache API responses for improved performance using --enable-cache
  • Google ADK Compatibility: Fully compatible with Google ADK agents and other AI frameworks that use strict function calling schemas

Installation

Using pipx (Recommended for Claude Desktop)

The best way to install for Claude Desktop usage is with pipx, which installs the command globally:

# Install pipx if you don't have it
pip install pipx
pipx ensurepath

# Install the Wikipedia MCP server
pipx install wikipedia-mcp

This ensures the wikipedia-mcp command is available in Claude Desktop's PATH.

Installing via Smithery

To install wikipedia-mcp for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @Rudra-ravi/wikipedia-mcp --client claude

From PyPI (Alternative)

You can also install directly from PyPI:

pip install wikipedia-mcp

Note: If you use this method and encounter connection issues with Claude Desktop, you may need to use the full path to the command in your configuration. See the Configuration section for details.

Using a virtual environment

# Create a virtual environment
python3 -m venv venv

# Activate the virtual environment
source venv/bin/activate

# Install the package
pip install git+https://github.com/rudra-ravi/wikipedia-mcp.git

From source

# Clone the repository
git clone https://github.com/rudra-ravi/wikipedia-mcp.git
cd wikipedia-mcp

# Create a virtual environment
python3 -m venv wikipedia-mcp-env
source wikipedia-mcp-env/bin/activate

# Install in development mode
pip install -e .

Usage

Running the server

# If installed with pipx
wikipedia-mcp

# If installed in a virtual environment
source venv/bin/activate
wikipedia-mcp

# Specify transport protocol (default: stdio)
wikipedia-mcp --transport stdio  # For Claude Desktop
wikipedia-mcp --transport sse    # For HTTP streaming

# Specify language (default: en for English)
wikipedia-mcp --language ja  # Example for Japanese
wikipedia-mcp --language zh-hans  # Example for Simplified Chinese
wikipedia-mcp --language zh-tw    # Example for Traditional Chinese (Taiwan)
wikipedia-mcp --language sr-latn  # Example for Serbian Latin script

# Specify country/locale (alternative to language codes)
wikipedia-mcp --country US        # English (United States)
wikipedia-mcp --country China     # Chinese Simplified
wikipedia-mcp --country Taiwan    # Chinese Traditional (Taiwan)  
wikipedia-mcp --country Japan     # Japanese
wikipedia-mcp --country Germany   # German
wikipedia-mcp --country france    # French (case insensitive)

# List all supported countries
wikipedia-mcp --list-countries

# Optional: Specify port for SSE (default 8000)
wikipedia-mcp --transport sse --port 8080

# Optional: Enable caching
wikipedia-mcp --enable-cache

# Combine options
wikipedia-mcp --country Taiwan --enable-cache --transport sse --port 8080

Configuration for Claude Desktop

Add the following to your Claude Desktop configuration file:

Option 1: Using command name (requires wikipedia-mcp to be in PATH)

{
  "mcpServers": {
    "wikipedia": {
      "command": "wikipedia-mcp"
    }
  }
}

Option 2: Using full path (recommended if you get connection errors)

{
  "mcpServers": {
    "wikipedia": {
      "command": "/full/path/to/wikipedia-mcp"
    }
  }
}

Option 3: With country/language specification

{
  "mcpServers": {
    "wikipedia-us": {
      "command": "wikipedia-mcp",
      "args": ["--country", "US"]
    },
    "wikipedia-taiwan": {
      "command": "wikipedia-mcp", 
      "args": ["--country", "TW"]
    },
    "wikipedia-japan": {
      "command": "wikipedia-mcp",
      "args": ["--country", "Japan"]
    }
  }
}

To find the full path, run: which wikipedia-mcp

Configuration file locations:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%/Claude/claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json

Note: If you encounter connection errors, see the Troubleshooting section for solutions.

Available MCP Tools

The Wikipedia MCP server provides the following tools for LLMs to interact with Wikipedia:

search_wikipedia

Search Wikipedia for articles matching a query.

Parameters:

  • query (string): The search term
  • limit (integer, optional): Maximum number of results to return (default: 10)

Returns:

  • A list of search results with titles, snippets, and metadata

get_article

Get the full content of a Wikipedia article.

Parameters:

  • title (string): The title of the Wikipedia article

Returns:

  • Article content including text, summary, sections, links, and categories

get_summary

Get a concise summary of a Wikipedia article.

Parameters:

  • title (string): The title of the Wikipedia article

Returns:

  • A text summary of the article

get_sections

Get the sections of a Wikipedia article.

Parameters:

  • title (string): The title of the Wikipedia article

Returns:

  • A structured list of article sections with their content

get_links

Get the links contained within a Wikipedia article.

Parameters:

  • title (string): The title of the Wikipedia article

Returns:

  • A list of links to other Wikipedia articles

get_related_topics

Get topics related to a Wikipedia article based on links and categories.

Parameters:

  • title (string): The title of the Wikipedia article
  • limit (integer, optional): Maximum number of related topics (default: 10)

Returns:

  • A list of related topics with relevance information

summarize_article_for_query

Get a summary of a Wikipedia article tailored to a specific query.

Parameters:

  • title (string): The title of the Wikipedia article
  • query (string): The query to focus the summary on
  • max_length (integer, optional): Maximum length of the summary (default: 250)

Returns:

  • A dictionary containing the title, query, and the focused summary

summarize_article_section

Get a summary of a specific section of a Wikipedia article.

Parameters:

  • title (string): The title of the Wikipedia article
  • section_title (string): The title of the section to summarize
  • max_length (integer, optional): Maximum length of the summary (default: 150)

Returns:

  • A dictionary containing the title, section title, and the section summary

extract_key_facts

Extract key facts from a Wikipedia article, optionally focused on a specific topic within the article.

Parameters:

  • title (string): The title of the Wikipedia article
  • topic_within_article (string, optional): A specific topic within the article to focus fact extraction
  • count (integer, optional): Number of key facts to extract (default: 5)

Returns:

  • A dictionary containing the title, topic, and a list of extracted facts

get_page_revisions

Get the complete revision history for a Wikipedia page.

Parameters:

  • title (string): The title of the Wikipedia article
  • limit (integer, optional): Maximum number of revisions to return (default: 50)

Returns:

  • A dictionary containing revision history with user information, timestamps, comments, and size changes

get_user_contributions

Get all contributions made by a specific Wikipedia user.

Parameters:

  • username (string): The username to get contributions for
  • limit (integer, optional): Maximum number of contributions to return (default: 50)

Returns:

  • A dictionary containing user contributions across different pages

get_user_info

Get detailed information and statistics about a Wikipedia user.

Parameters:

  • username (string): The username to get information for

Returns:

  • A dictionary containing user registration date, edit count, user groups, and block status

compare_revisions

Compare two specific revisions of a Wikipedia page.

Parameters:

  • from_rev (integer): The older revision ID
  • to_rev (integer): The newer revision ID

Returns:

  • A dictionary containing the comparison with differences between versions

get_page_creator

Find who originally created a Wikipedia page.

Parameters:

  • title (string): The title of the Wikipedia article

Returns:

  • A dictionary containing information about the page creator and first revision

get_revision_details

Get detailed information about a specific revision.

Parameters:

  • revid (integer): The revision ID to get details for

Returns:

  • A dictionary containing full content and metadata for the revision

get_talk_page

Get the content and metadata of a Wikipedia talk page.

Parameters:

  • title (string): The title of the Wikipedia article (talk page will be auto-derived)

Returns:

  • A dictionary containing talk page content, metadata, and discussion structure

analyze_edit_activity

Analyze edit activity patterns and detect spikes using statistical methods.

Parameters:

  • title (string): The title of the Wikipedia article
  • start_datetime (string, optional): Start datetime in ISO format (e.g., "2024-01-15T14:30:00Z")
  • end_datetime (string, optional): End datetime in ISO format. Defaults to now if not specified
  • window_size (string, optional): Time window for grouping ("day", "week", "month") - default: "day"
  • z_threshold (float, optional): Z-score threshold for spike detection (default: 2.0 = top 2.5%)

Returns:

  • A dictionary containing activity analysis, statistical measures, and detected spikes

get_significant_revisions

Get the most significant revisions based on weighted scoring algorithm.

Parameters:

  • title (string): The title of the Wikipedia article
  • start_datetime (string, optional): Start datetime in ISO format
  • end_datetime (string, optional): End datetime in ISO format
  • limit (integer, optional): Maximum number of significant revisions to return (default: 50)
  • min_significance (float, optional): Minimum significance score (0.0-1.0) to include (default: 0.5)

Returns:

  • A dictionary containing ranked significant revisions with detailed scoring factors

Country/Locale Support

The Wikipedia MCP server supports intuitive country and region codes as an alternative to language codes. This makes it easier to access region-specific Wikipedia content without needing to know language codes.

Supported Countries and Regions

Use --list-countries to see all supported countries:

wikipedia-mcp --list-countries

This will display countries organized by language, for example:

Supported Country/Locale Codes:
========================================
    en: US, USA, United States, UK, GB, Canada, Australia, ...
    zh-hans: CN, China
    zh-tw: TW, Taiwan  
    ja: JP, Japan
    de: DE, Germany
    fr: FR, France
    es: ES, Spain, MX, Mexico, AR, Argentina, ...
    pt: PT, Portugal, BR, Brazil
    ru: RU, Russia
    ar: SA, Saudi Arabia, AE, UAE, EG, Egypt, ...

Usage Examples

# Major countries by code
wikipedia-mcp --country US       # United States (English)
wikipedia-mcp --country CN       # China (Simplified Chinese)
wikipedia-mcp --country TW       # Taiwan (Traditional Chinese)
wikipedia-mcp --country JP       # Japan (Japanese)
wikipedia-mcp --country DE       # Germany (German)
wikipedia-mcp --country FR       # France (French)
wikipedia-mcp --country BR       # Brazil (Portuguese)
wikipedia-mcp --country RU       # Russia (Russian)

# Countries by full name (case insensitive)
wikipedia-mcp --country "United States"
wikipedia-mcp --country China
wikipedia-mcp --country Taiwan  
wikipedia-mcp --country Japan
wikipedia-mcp --country Germany
wikipedia-mcp --country france    # Case insensitive

# Regional variants
wikipedia-mcp --country HK       # Hong Kong (Traditional Chinese)
wikipedia-mcp --country SG       # Singapore (Simplified Chinese)
wikipedia-mcp --country "Saudi Arabia"  # Arabic
wikipedia-mcp --country Mexico   # Spanish

Country-to-Language Mapping

The server automatically maps country codes to appropriate Wikipedia language editions:

  • English-speaking: US, UK, Canada, Australia, New Zealand, Ireland, South Africa β†’ en
  • Chinese regions:
    • CN, China β†’ zh-hans (Simplified Chinese)
    • TW, Taiwan β†’ zh-tw (Traditional Chinese - Taiwan)
    • HK, Hong Kong β†’ zh-hk (Traditional Chinese - Hong Kong)
    • SG, Singapore β†’ zh-sg (Simplified Chinese - Singapore)
  • Major languages: JPβ†’ja, DEβ†’de, FRβ†’fr, ESβ†’es, ITβ†’it, RUβ†’ru, etc.
  • Regional variants: Supports 140+ countries and regions

Error Handling

If you specify an unsupported country, you'll get a helpful error message:

$ wikipedia-mcp --country INVALID
Error: Unsupported country/locale: 'INVALID'. 
Supported country codes include: US, USA, UK, GB, CA, AU, NZ, IE, ZA, CN. 
Use --language parameter for direct language codes instead.

Use --list-countries to see supported country codes.

Language Variants

The Wikipedia MCP server supports language variants for languages that have multiple writing systems or regional variations. This feature is particularly useful for Chinese, Serbian, Kurdish, and other languages with multiple scripts or regional differences.

Supported Language Variants

Chinese Language Variants

  • zh-hans - Simplified Chinese
  • zh-hant - Traditional Chinese
  • zh-tw - Traditional Chinese (Taiwan)
  • zh-hk - Traditional Chinese (Hong Kong)
  • zh-mo - Traditional Chinese (Macau)
  • zh-cn - Simplified Chinese (China)
  • zh-sg - Simplified Chinese (Singapore)
  • zh-my - Simplified Chinese (Malaysia)

Serbian Language Variants

  • sr-latn - Serbian Latin script
  • sr-cyrl - Serbian Cyrillic script

Kurdish Language Variants

  • ku-latn - Kurdish Latin script
  • ku-arab - Kurdish Arabic script

Norwegian Language Variants

  • no - Norwegian (automatically mapped to BokmΓ₯l)

Usage Examples

# Access Simplified Chinese Wikipedia
wikipedia-mcp --language zh-hans

# Access Traditional Chinese Wikipedia (Taiwan)
wikipedia-mcp --language zh-tw

# Access Serbian Wikipedia in Latin script
wikipedia-mcp --language sr-latn

# Access Serbian Wikipedia in Cyrillic script
wikipedia-mcp --language sr-cyrl

How Language Variants Work

When you specify a language variant like zh-hans, the server:

  1. Maps the variant to the base Wikipedia language (e.g., zh for Chinese variants)
  2. Uses the base language for API connections to the Wikipedia servers
  3. Includes the variant parameter in API requests to get content in the specific variant
  4. Returns content formatted according to the specified variant's conventions

This approach ensures optimal compatibility with Wikipedia's API while providing access to variant-specific content and formatting.

Example Prompts

Once the server is running and configured with Claude Desktop, you can use prompts like:

General Wikipedia queries:

  • "Tell me about quantum computing using the Wikipedia information."
  • "Summarize the history of artificial intelligence based on Wikipedia."
  • "What does Wikipedia say about climate change?"
  • "Find Wikipedia articles related to machine learning."
  • "Get me the introduction section of the article on neural networks from Wikipedia."

Using country-specific Wikipedia:

  • "Search Wikipedia China for information about the Great Wall." (uses Chinese Wikipedia)
  • "Tell me about Tokyo from Japanese Wikipedia sources."
  • "What does German Wikipedia say about the Berlin Wall?"
  • "Find information about the Eiffel Tower from French Wikipedia."
  • "Get Taiwan Wikipedia's article about Taiwanese cuisine."

Language variant examples:

  • "Search Traditional Chinese Wikipedia for information about Taiwan."
  • "Find Simplified Chinese articles about modern China."
  • "Get information from Serbian Latin Wikipedia about Belgrade."

MCP Resources

The server also provides MCP resources (similar to HTTP endpoints but for MCP):

  • search/{query}: Search Wikipedia for articles matching the query
  • article/{title}: Get the full content of a Wikipedia article
  • summary/{title}: Get a summary of a Wikipedia article
  • sections/{title}: Get the sections of a Wikipedia article
  • links/{title}: Get the links in a Wikipedia article
  • summary/{title}/query/{query}/length/{max_length}: Get a query-focused summary of an article
  • summary/{title}/section/{section_title}/length/{max_length}: Get a summary of a specific article section
  • facts/{title}/topic/{topic_within_article}/count/{count}: Extract key facts from an article

Development

Local Development Setup

# Clone the repository
git clone https://github.com/rudra-ravi/wikipedia-mcp.git
cd wikipedia-mcp

# Create a virtual environment
python3 -m venv venv
source venv/bin/activate

# Install the package in development mode
pip install -e .

# Install development and test dependencies
pip install -r requirements-dev.txt

# Run the server
wikipedia-mcp

Project Structure

  • wikipedia_mcp/: Main package
    • __main__.py: Entry point for the package
    • server.py: MCP server implementation
    • wikipedia_client.py: Wikipedia API client
    • api/: API implementation
    • core/: Core functionality
    • utils/: Utility functions
  • tests/: Test suite
    • test_basic.py: Basic package tests
    • test_cli.py: Command-line interface tests
    • test_server_tools.py: Comprehensive server and tool tests

Example Usage Scenarios

Investigating Article History

To understand how a Wikipedia article evolved over time:

  1. Get revision history: Use get_page_revisions to see recent edits

    • Shows who made changes, when, and what they changed
    • Includes edit summaries and size changes
  2. Find the original creator: Use get_page_creator to discover who started the article

    • Returns the first revision and author information
  3. Compare versions: Use compare_revisions with revision IDs to see specific changes

    • Shows detailed differences between any two versions

Analyzing User Contributions

To research a Wikipedia editor's work:

  1. Get user statistics: Use get_user_info to see their profile

    • Shows edit count, registration date, user groups
    • Indicates if the user is blocked
  2. Review contributions: Use get_user_contributions to see their edits

    • Lists all pages they've edited with timestamps
    • Shows the size and nature of their changes
  3. Examine specific edits: Use get_revision_details with revision IDs from their contributions

    • Retrieves the full content of their edits

Example Tool Combinations

Research a controversial topic's edit history:

1. search_wikipedia("controversial topic")
2. get_page_revisions("Article Title", limit=100)
3. compare_revisions(older_revid, newer_revid) for major changes
4. get_user_info("username") for frequent editors

Verify article reliability:

1. get_page_creator("Article Title")
2. get_user_info("creator_username")
3. get_page_revisions("Article Title", limit=20)
4. Check edit patterns and contributor diversity

Detect and investigate controversies/edit wars:

1. analyze_edit_activity("Controversial Topic", z_threshold=2.0)
2. For detected spikes, use get_significant_revisions() to find major edits
3. get_talk_page("Controversial Topic") to see discussions
4. compare_revisions() for specific conflicts
5. get_user_info() for key editors involved

Advanced Controversy Detection

The new analysis tools enable sophisticated detection of Wikipedia controversies:

Spike Detection Algorithm:

  • Uses statistical z-scores (standard deviations) to identify unusual activity
  • Detects both edit count spikes and editor count spikes
  • Configurable sensitivity (z_threshold parameter)

Significance Scoring:

  • 30% - Normalized byte changes (size of edit relative to article size)
  • 25% - Revert proximity (how quickly edit was reversed)
  • 20% - Editor experience (new vs. established editors)
  • 15% - Discussion references (mentions of talk pages, disputes)
  • 10% - Edit war patterns (rapid back-and-forth edits)

Use Cases:

  • Identify controversial topics and periods
  • Analyze edit wars and vandalism patterns
  • Research significant historical events in Wikipedia
  • Track how articles evolve during breaking news
  • Study editor behavior and conflict resolution

Testing

The project includes a comprehensive test suite to ensure reliability and functionality.

Test Structure

The test suite is organized in the tests/ directory with the following test files:

  • test_basic.py: Basic package functionality tests
  • test_cli.py: Command-line interface and transport tests
  • test_server_tools.py: Comprehensive tests for all MCP tools and Wikipedia client functionality

Running Tests

Run All Tests

# Install test dependencies
pip install -r requirements-dev.txt

# Run all tests
python -m pytest tests/ -v

# Run tests with coverage
python -m pytest tests/ --cov=wikipedia_mcp --cov-report=html

Run Specific Test Categories

# Run only unit tests (excludes integration tests)
python -m pytest tests/ -v -m "not integration"

# Run only integration tests (requires internet connection)
python -m pytest tests/ -v -m "integration"

# Run specific test file
python -m pytest tests/test_server_tools.py -v

Test Categories

Unit Tests

  • WikipediaClient Tests: Mock-based tests for all client methods
    • Search functionality
    • Article retrieval
    • Summary extraction
    • Section parsing
    • Link extraction
    • Related topics discovery
  • Server Tests: MCP server creation and tool registration
  • CLI Tests: Command-line interface functionality

Integration Tests

  • Real API Tests: Tests that make actual calls to Wikipedia API
  • End-to-End Tests: Complete workflow testing

Test Configuration

The project uses pytest.ini for test configuration:

[pytest]
markers =
    integration: marks tests as integration tests (may require network access)
    slow: marks tests as slow running

testpaths = tests
addopts = -v --tb=short

Continuous Integration

All tests are designed to:

  • Run reliably in CI/CD environments
  • Handle network failures gracefully
  • Provide clear error messages
  • Cover edge cases and error conditions

Adding New Tests

When contributing new features:

  1. Add unit tests for new functionality
  2. Include both success and failure scenarios
  3. Mock external dependencies (Wikipedia API)
  4. Add integration tests for end-to-end validation
  5. Follow existing test patterns and naming conventions

Troubleshooting

Common Issues

Claude Desktop Connection Issues

Problem: Claude Desktop shows errors like spawn wikipedia-mcp ENOENT or cannot find the command.

Cause: This occurs when the wikipedia-mcp command is installed in a user-specific location (like ~/.local/bin/) that's not in Claude Desktop's PATH.

Solutions:

  1. Use full path to the command (Recommended):

    {
      "mcpServers": {
        "wikipedia": {
          "command": "/home/username/.local/bin/wikipedia-mcp"
        }
      }
    }

    To find your exact path, run: which wikipedia-mcp

  2. Install with pipx for global access:

    pipx install wikipedia-mcp

    Then use the standard configuration:

    {
      "mcpServers": {
        "wikipedia": {
          "command": "wikipedia-mcp"
        }
      }
    }
  3. Create a symlink to a global location:

    sudo ln -s ~/.local/bin/wikipedia-mcp /usr/local/bin/wikipedia-mcp

Other Issues

  • Article Not Found: Check the exact spelling of article titles
  • Rate Limiting: Wikipedia API has rate limits; consider adding delays between requests
  • Large Articles: Some Wikipedia articles are very large and may exceed token limits

Understanding the Model Context Protocol (MCP)

The Model Context Protocol (MCP) is not a traditional HTTP API but a specialized protocol for communication between LLMs and external tools. Key characteristics:

  • Uses stdio (standard input/output) or SSE (Server-Sent Events) for communication
  • Designed specifically for AI model interaction
  • Provides standardized formats for tools, resources, and prompts
  • Integrates directly with Claude and other MCP-compatible AI systems

Claude Desktop acts as the MCP client, while this server provides the tools and resources that Claude can use to access Wikipedia information.

Contributing

Contributions are welcome! Please see CONTRIBUTING.md for guidelines.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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