veyrax-mcp
VeyraX MCP is an open protocol designed to provide custom tools for agentic LLMs. It allows users to access multiple tools with a single authentication, simplifying the process of managing credentials. With a quick setup, users can instantly utilize their connected tools across various MCP-compatible environments.
GitHub Stars
42
User Rating
Not Rated
Favorites
0
Views
29
Forks
20
Issues
1
Installation
Difficulty
BeginnerEstimated Time
5-10 minutes
Requirements
Node.js: 18.0.0以上npm: 8.0.0以上+1 more
Installation
Installation
Prerequisites
Please specify required software and versions:Node.js: 18.0.0 or higher
npm: 8.0.0 or higher
Claude Desktop: Latest version
Installation Steps
1. Clone Repository
bash
git clone https://github.com/VeyraX/veyrax-mcp.git
cd veyrax-mcp
2. Install Dependencies
bash
npm install
3. Configure Claude Desktop
Editclaude_desktop_config.json to add the MCP server:
json
{
"mcpServers": {
"server-name": {
"command": "node",
"args": ["path/to/server.js"]
}
}
}
4. Start Server
bash
npm start
Troubleshooting
Common Issues
Issue: Server won't start Solution: Check Node.js version and reinstall dependencies. Issue: Not recognized by Claude Desktop Solution: Verify configuration file path and syntax.Configuration
Configuration
Basic Configuration
Claude Desktop Setup
Edit~/.config/claude-desktop/claude_desktop_config.json (macOS/Linux) or
%APPDATA%\Claude\claude_desktop_config.json (Windows):
json
{
"mcpServers": {
"tool-name": {
"command": "npx",
"args": ["-y", "package-name"],
"env": {
"API_KEY": "your-api-key"
}
}
}
}
Environment Variables
Set the following environment variables as needed:bash
export API_KEY="your-api-key"
export DEBUG="true"
Advanced Configuration
Security Settings
Store API keys in environment variables or secure configuration files
Set appropriate file access permissions
Adjust logging levels
Performance Tuning
Configure timeout values
Limit concurrent executions
Set up caching
Configuration Examples
Basic Configuration
json
{
"mcpServers": {
"example-mcp": {
"command": "node",
"args": ["server.js"],
"env": {
"PORT": "3000",
"LOG_LEVEL": "info"
}
}
}
}
Advanced Configuration
json
{
"mcpServers": {
"advanced-mcp": {
"command": "python",
"args": ["-m", "server"],
"cwd": "/path/to/server",
"env": {
"PYTHONPATH": "/path/to/modules",
"CONFIG_FILE": "/path/to/config.json"
}
}
}
}
Examples
Examples
Basic Usage
Here are basic usage examples for the MCP server:Using with Claude Desktop
1Verify MCP Server Startup
Open Claude Desktop and confirm that the configuration has been loaded correctly.
2Execute Basic Commands
Available tools from this MCP server:
- tool1: Description of tool1
- tool2: Description of tool2
Programmatic Usage
javascript
// JavaScript example (Node.js)
const { MCPClient } = require('@modelcontextprotocol/client');
const client = new MCPClient();
await client.connect();
// Execute tool
const result = await client.callTool('toolName', {
parameter1: 'value1',
parameter2: 'value2'
});
console.log(result);
Advanced Examples
Automation Script
bash
#!/bin/bash
Batch processing example
for file in *.txt; do
mcp-tool process "$file"
done
API Integration
python
Python example
import requests
import json
def call_mcp_tool(tool_name, params):
response = requests.post(
'http://localhost:3000/mcp/call',
json={
'tool': tool_name,
'parameters': params
}
)
return response.json()
Usage example
result = call_mcp_tool('analyze', {
'input': 'sample data',
'options': {'format': 'json'}
})
Use Cases
Integrating AI tools in Claude allows developers to manage multiple tools from a single interface.
Directly use tools connected to VeyraX while coding in VS Code.
Enhanced development efficiency with quick access to tools in Cursor IDE.
Use automation scripts to execute batch processing through the MCP server.