Integrated Search MCP Server
About
Integrated Search MCP Server - Google Custom Search + Redmine API integration for AI assistants
Explore
- Error Handling: Robust error handling with detailed error messages
- Input Validation: Comprehensive input validation using Zod schemas
- Configurable: Environment-based configuration
- Dual API Support: Seamlessly switch between Google Search and Redmine operations
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Integrated Search MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
1. Clone this repository:
git clone <repository-url>
cd mcp-integrated-search-server
2. Install dependencies:
npm install
3. Set up environment variables:
cp .env.example .env
4. Edit .env file with your API credentials:
GOOGLE_API_KEY=your_google_api_key_here
GOOGLE_SEARCH_ENGINE_ID=your_custom_search_engine_id_here
REDMINE_URL=https://your-redmine-instance.com
REDMINE_API_KEY=your_redmine_api_key_here
LOG_LEVEL=info
5. Build the project:
npm run build
1. Set REDMINE_URL to your Redmine instance URL (e.g., https://redmine.example.com)
2. Set REDMINE_API_KEY to your API key from step 1
Note: Redmine configuration is optional. If not provided, only Google Search functionality will be available.
npm run dev
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"integrated search mcp server": {
"integrated-search-server": {
"command": "node",
"args": [
"/absolute/path/to/mcp-integrated-search-server/build/index.js"
],
"env": {
"GOOGLE_API_KEY": "",
"GOOGLE_SEARCH_ENGINE_ID": "",
"REDMINE_URL": "",
"REDMINE_API_KEY": ""
}
}
}
}
}McpServers
{
"integrated-search-server": {
"command": "node",
"args": [
"/absolute/path/to/mcp-integrated-search-server/build/index.js"
],
"env": {
"GOOGLE_API_KEY": "",
"GOOGLE_SEARCH_ENGINE_ID": "",
"REDMINE_URL": "",
"REDMINE_API_KEY": ""
}
}
}A Model Context Protocol (MCP) server that provides both Google Custom Search API and Redmine API integration, allowing AI assistants to search the web and manage Redmine projects seamlessly.
Features
Google Custom Search
- Web Search: Search the web using Google Custom Search API - Image Search: Find images with advanced filtering options - Advanced Parameters: Support for language restrictions, site-specific searches, file type filtering, and moreRedmine API Integration
- Issue Management: List, create, and view Redmine issues - Project Management: Browse Redmine projects - Advanced Filtering: Filter issues by project, status, assignee, and more - Comprehensive Details: Access full issue information including custom fieldsCommon Features
- Error Handling: Robust error handling with detailed error messages - Input Validation: Comprehensive input validation using Zod schemas - Configurable: Environment-based configuration - Dual API Support: Seamlessly switch between Google Search and Redmine operationsInstallation
1. Clone this repository:
git clone <repository-url>
cd mcp-integrated-search-server
2. Install dependencies:
npm install
3. Set up environment variables:
cp .env.example .env
4. Edit .env file with your API credentials:
```env
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