wikipedia-mcp

作者 Rudra-ravi已验证

A Model Context Protocol (MCP) server that retrieves information from Wikipedia to provide context to LLMs.

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2026/8/23
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⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/Rudra-ravi/wikipedia-mcp

快速入门

使用 wikipedia-mcp 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

Wikipedia MCP Server

smithery badge Listed on Spark AgentSeal MCP

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

MseeP.ai Security Assessment Badge

Features

  • Search Wikipedia: Find articles matching specific queries with enhanced diagnostics
  • 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
  • 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
  • Modern MCP Transport Support: Supports stdio, http, and streamable-http (with legacy sse compatibility).
  • Optional MCP Transport Auth: Secure network transports with --auth-mode static or --auth-mode jwt.
  • 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 http --host 0.0.0.0 --port 8080 --path /mcp
wikipedia-mcp --transport streamable-http --host 0.0.0.0 --port 8080 --path /mcp
wikipedia-mcp --transport sse    # Legacy compatibility transport

# 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 host/port/path for network transport (use 0.0.0.0 for containers)
wikipedia-mcp --transport http --host 0.0.0.0 --port 8080 --path /mcp

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

# Optional: Use Personal Access Token to avoid rate limiting (403 errors)
wikipedia-mcp --access-token your_wikipedia_token_here

# Or set via environment variable
export WIKIPEDIA_ACCESS_TOKEN=your_wikipedia_token_here
wikipedia-mcp

# Optional: Secure incoming MCP network requests with static bearer token
wikipedia-mcp --transport http --auth-mode static --auth-token your_mcp_token --host 0.0.0.0 --port 8080

# Optional: Secure incoming MCP network requests with JWT validation
wikipedia-mcp --transport http --auth-mode jwt --auth-jwks-uri https://issuer/.well-known/jwks.json --auth-issuer https://issuer

# Security note: prefer http/streamable-http + auth-mode for exposed network transport.

# Combine options
wikipedia-mcp --country Taiwan --enable-cache --access-token your_wikipedia_token --transport http --path /mcp --port 8080

### Docker/Kubernetes

When running inside containers, bind the HTTP MCP server to all interfaces and map
the container port to the host or service:

```bash
# Build and run with Docker
docker build -t wikipedia-mcp .
docker run --rm -p 8080:8080 wikipedia-mcp --transport http --host 0.0.0.0 --port 8080 --path /mcp

Kubernetes example (minimal):

apiVersion: apps/v1
kind: Deployment
metadata:
  name: wikipedia-mcp
spec:
  replicas: 1
  selector:
    matchLabels:
      app: wikipedia-mcp
  template:
    metadata:
      labels:
        app: wikipedia-mcp
    spec:
      containers:
        - name: server
          image: your-repo/wikipedia-mcp:latest
          args: ["--transport", "http", "--host", "0.0.0.0", "--port", "8080", "--path", "/mcp"]
          ports:
            - containerPort: 8080
---
apiVersion: v1
kind: Service
metadata:
  name: wikipedia-mcp
spec:
  selector:
    app: wikipedia-mcp
  ports:
    - name: http
      port: 8080
      targetPort: 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)**
```json
{
  "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.

Documentation Index

Available MCP Tools

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

Each tool is also exposed with a wikipedia_-prefixed alias (for example, wikipedia_get_article) for improved cross-server discoverability.

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_coordinates

Get the coordinates of a Wikipedia article.

Parameters:

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

Returns:

  • A dictionary containing coordinate information including:
    • title: The article title
    • pageid: The page ID
    • coordinates: List of coordinate objects with latitude, longitude, and metadata
    • exists: Whether the article exists
    • error: Any error message if retrieval failed

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

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 → en
  • Chinese regions:
    • CN, China → zh-hans (Simplified Chinese)
    • TW, Taiwan → zh-tw (Traditional Chinese - Taiwan)
    • HK, Hong Kong → zh-hk (Traditional Chinese - Hong Kong)
    • SG, Singapore → zh-sg (Simplified Chinese - Singapore)
  • Major languages: JP→ja, DE→de, FR→fr, ES→es, IT→it, RU→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 Bokmål)

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."
  • "What are the coordinates of the Eiffel Tower?"
  • "Find the latitude and longitude of Mount Everest from Wikipedia."
  • "Get coordinate information for famous landmarks in Paris."

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
  • coordinates/{title}: Get the coordinates of 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

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

Troubleshooting Search Issues

If you're experiencing empty search results, use the new diagnostic tools:

1. Test Connectivity

Use the test_wikipedia_connectivity tool to check if you can reach Wikipedia's API:

{
  "tool": "test_wikipedia_connectivity"
}

This returns diagnostics including:

  • Connection status (success or failed)
  • Response time in milliseconds
  • Site/host information when successful
  • Error details when connectivity fails

2. Enhanced Search Error Information

The search_wikipedia tool now returns detailed metadata:

{
  "tool": "search_wikipedia",
  "arguments": {
    "query": "Ada Lovelace",
    "limit": 10
  }
}

Example response:

{
  "query": "Ada Lovelace",
  "results": [...],
  "count": 5,
  "status": "success",
  "language": "en"
}

When no results are found, you receive:

{
  "query": "nonexistent",
  "results": [],
  "status": "no_results",
  "count": 0,
  "language": "en",
  "message": "No search results found. This could indicate connectivity issues, API errors, or simply no matching articles."
}

3. Common Search Issues and Solutions

  • Empty results: Run the connectivity test, verify query spelling, try broader terms.
  • Connection errors: Check firewall or proxy settings, ensure *.wikipedia.org is reachable.
  • API limits: Requests with limit > 500 are automatically capped; negative values reset to the default (10).

4. Debugging with Verbose Logging

Launch the server with debug logging for deeper insight:

wikipedia-mcp --log-level DEBUG

This emits the request parameters, response status codes, and any warnings returned by the API.

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 for local integrations and streamable HTTP for network integrations (sse retained for legacy compatibility)
  • 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.

Connect with the Author

常见问题

What is wikipedia-mcp?

wikipedia-mcp is an open-source mcp servers skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by Rudra-ravi. A Model Context Protocol (MCP) server that retrieves information from Wikipedia to provide context to LLMs. It has 289 GitHub stars.

Is wikipedia-mcp safe to use?

Yes. wikipedia-mcp passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install wikipedia-mcp?

Clone the repository with "git clone https://github.com/Rudra-ravi/wikipedia-mcp" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is wikipedia-mcp written in?

wikipedia-mcp is primarily written in Python. It is open-source under Rudra-ravi on GitHub, so you can review or fork the full source.

Are there alternatives to wikipedia-mcp?

Yes. SkillsLLM lists many other MCP Servers skills you can browse and compare side by side. Open the MCP Servers category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh wikipedia-mcp against similar tools.

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The agent that grows with you

234,43747,175Python
AI 智能体ai-agentsagent-orchestration
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n8n

by n8n-io

12

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

201,88160,308TypeScript
MCP 服务器apisai-tools
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The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

185,94028,768JavaScript
AI 智能体ai-agentsanthropicclaude-code
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cc-switch

by farion1231

3

A cross-platform desktop All-in-One assistant for Claude Code, Codex, OpenCode, OpenClaw, Grok Build & Hermes Agent. Only official website: ccswitch.io

128,8688,826Rust
AI 智能体claude-codeai-tools
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