claude mcp add aisynchronex-mcp-proxy -- npx -y @synchronex/mcp-proxy
{
"mcpServers": {
"aisynchronex-mcp-proxy": {
"command": "npx",
"args": ["-y", "@synchronex/mcp-proxy"]
}
}
}
{
"mcpServers": {
"aisynchronex-mcp-proxy": {
"command": "npx",
"args": ["-y", "@synchronex/mcp-proxy"]
}
}
}
{
"mcpServers": {
"aisynchronex-mcp-proxy": {
"command": "npx",
"args": ["-y", "@synchronex/mcp-proxy"]
}
}
}
About This MCP Server
The ai.synchronex/mcp-proxy server enables connection of any AI agent to a Synchronex workspace, allowing for portable memory, decisions, and workers. It can be used by developers to integrate AI models with their Synchronex environment, facilitating access to shared resources and capabilities. This server is typically used when a developer needs to bridge their AI agent with the Synchronex workspace, leveraging its features for enhanced collaboration and functionality.
Connect any AI agent to your Synchronex workspace — portable memory, decisions, and workers.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with ai & machine learning capabilities via the stdio transport.
Package
@synchronex/mcp-proxy on npm
HOW TO USE
Select your AI client above to get the install command. This MCP server uses the stdio transport and is available on npm.
What tools does it provide?
The Synchronex server extends your AI assistant with ai & machine learning capabilities. Once installed, your AI can use its tools automatically.
