Higress s MCP Server

Developer ToolsGo

A collection of Model Context Protocol servers for various data services and API integrations

Available Tools

business_info_query

Query business information and company details

book_query

Search for book information and details

brave_search

Perform web searches using Brave Search

github_api

Access GitHub repositories and information

document_conversion

Convert documents between different formats

exchange_rate_query

Get current currency exchange rates

fund_data_query

Retrieve investment fund data and information

calendar_holiday_helper

Get calendar and holiday information

Higress MCP Servers is a comprehensive collection of Model Context Protocol (MCP) servers that enable AI assistants to access various external services and APIs. The repository includes servers for business information queries, financial data, search capabilities, document conversion, and many other functionalities. These MCP servers allow AI models to extend their capabilities by connecting to real-time data sources and external tools.

Higress MCP Servers

Higress MCP Servers is a collection of Model Context Protocol servers that enable AI assistants to access various external services and APIs. This repository contains multiple MCP server implementations for different use cases, from business information queries to document conversion tools.

Installation

To use any of the Higress MCP servers, you'll need to:

Clone the repository:

git clone https://github.com/alibaba/higress.git
cd higress/plugins/wasm-go/mcp-servers

Choose the specific MCP server you want to use from the available options (e.g., mcp-github, mcp-bravesearch, etc.)
Follow the specific installation instructions in the chosen MCP server's directory
Configure your AI assistant to use the MCP server by adding the appropriate configuration to your client settings

Available MCP Servers

The repository includes numerous MCP servers for different purposes:

all-in-one: A comprehensive server that combines multiple functionalities
amap-tools: Location and mapping services
mcp-agricultural-product-price-query: Agricultural product price information
mcp-book-query: Book information search
mcp-bravesearch: Integration with Brave Search
mcp-business-credit-rating: Business credit information
mcp-business-info-query: Company information lookup
mcp-business-patent-query: Patent information search
mcp-calendar-holiday-helper: Calendar and holiday information
mcp-chatppt: PowerPoint presentation creation tools
mcp-context7: Context-aware services
mcp-document-conversion: Document format conversion tools
mcp-e2bdev: Development tools
mcp-exchange-rate-query: Currency exchange rate information
mcp-firecrawl: Web crawling capabilities
mcp-fund-data-query: Investment fund data
mcp-github: GitHub API integration
mcp-global-financial-news: Financial news aggregation

Usage

Each MCP server has its own specific usage instructions, but generally:

Start the MCP server of your choice
Configure your AI assistant to connect to the running MCP server
The AI assistant can then use the capabilities provided by the MCP server to access external data or services

Authentication

Some MCP servers support API authentication through OAS3 security schemes. Check the documentation for each specific MCP server to understand its authentication requirements.

Contributing

If you want to contribute to the Higress MCP Servers project, you can:

Fork the repository
Create a new branch for your feature
Implement your changes
Submit a pull request

For more detailed information about each MCP server, refer to the documentation in its specific directory.