totoy-ai/totoy-mcp
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 henry@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.
createexplanation
Tool for creating explanations for AI model outputs.
createknowledgebase
Tool for creating new knowledge bases.
listknowledgebases
Tool for listing all available knowledge bases.
getknowledgebase
Tool for retrieving details of a specific knowledge base.
modifyknowledgebase
Tool for modifying existing knowledge bases.
deleteknowledgebase
Tool for deleting knowledge bases.
chatwithknowledgebase
Tool for interacting with a knowledge base through chat.
addknowledgebasesources
Tool for adding sources to a knowledge base.
listknowledgebasesources
Tool for listing sources within a knowledge base.
getknowledgebasesource
Tool for retrieving a specific source from a knowledge base.
deleteknowledgebasesource
Tool for deleting a source from a knowledge base.
createtextsource
Tool for creating a text-based source.
createdocumentsource
Tool for creating a document-based source.
listsources
Tool for listing all available sources.
getsource
Tool for retrieving details of a specific source.
modifysource
Tool for modifying existing sources.
deletesource
Tool for deleting sources.
getsourcecontent
Tool for retrieving the content of a source.
createproject
Tool for creating new projects.
listprojects
Tool for listing all available projects.
getproject
Tool for retrieving details of a specific project.
modifyproject
Tool for modifying existing projects.
deleteproject
Tool for deleting projects.
getorganization
Tool for retrieving organization details.
@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