totoy-mcp

totoy-ai/totoy-mcp

3.2

If you are the rightful owner of totoy-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to dayong@mcphub.com.

The Model Context Protocol (MCP) server is a versatile tool designed to facilitate seamless integration and management of various AI models and data sources. It provides a standardized interface for interacting with different AI services, making it easier for developers to build and deploy AI-powered applications.

Tools
24
Resources
0
Prompts
0

@totoy/totoy-mcp

MCP client config

Add the following to ~/Library/Application\ Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "totoy-mcp": {
      "command": "npx",
      "args": ["-y", "@totoy/totoy-mcp"],
      "env": {
        "API_KEY": "..."
      }
    }
  }
}

Customizing the base URL

Set the environment variable OPEN_MCP_BASE_URL to override each tool's base URL. This is useful if your OpenAPI spec defines a relative server URL.

Other environment variables

  • API_KEY

Tools

createexplanation

createknowledgebase

listknowledgebases

getknowledgebase

modifyknowledgebase

deleteknowledgebase

chatwithknowledgebase

addknowledgebasesources

listknowledgebasesources

getknowledgebasesource

deleteknowledgebasesource

createtextsource

createdocumentsource

listsources

getsource

modifysource

deletesource

getsourcecontent

createproject

listprojects

getproject

modifyproject

deleteproject

getorganization

Inspector

Needs access to port 3000 for running a proxy server, will fail if http://localhost:3000 is already busy.

npx -y @modelcontextprotocol/inspector npx -y @totoy/totoy-mcp
  • Open http://localhost:5173
  • Transport type: STDIO
  • Command: npx
  • Arguments: -y @totoy/totoy-mcp
  • Click Environment Variables to add
  • Click Connect

It should say MCP Server running on stdio in red.

  • Click List Tools