totoy-ai
...
@open-mcp/totoy-ai
Installing
First set the environment variables as shell variables:
Then use the OpenMCP config CLI to add the server to your MCP client:
Claude desktop
Cursor
Run this from the root of your project directory or, to add to all cursor projects, run it from your home directory ~
.
Other
Manually
If you don't want to use the helper above, add the following to your MCP client config manually:
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
Inspector
Needs access to port 3000 for running a proxy server, will fail if http://localhost:3000 is already busy.
- Open http://localhost:5173
- Transport type:
STDIO
- Command:
npx
- Arguments:
-y @open-mcp/totoy-ai
- Click
Environment Variables
to add - Click
Connect
It should say MCP Server running on stdio in red.
- Click
List Tools
Tools
expandSchema
Expand the input schema for a tool before calling the tool
Input schema
toolName
(string)jsonPointers
(array)
createexplanation
Environment variables
API_KEY
Input schema
output_language
(string)language_level
(string)source_id
(string)messages
(array)markdown_response
(boolean)
createknowledgebase
Environment variables
API_KEY
Input schema
name
(string)instructions
(string)project_id
(string)
listknowledgebases
Environment variables
API_KEY
Input schema
No input parameters
getknowledgebase
Environment variables
API_KEY
Input schema
knowledge_base_id
(string)
modifyknowledgebase
Environment variables
API_KEY
Input schema
knowledge_base_id
(string)name
(string)instructions
(string)project_id
(string)
deleteknowledgebase
Environment variables
API_KEY
Input schema
knowledge_base_id
(string)
chatwithknowledgebase
Environment variables
API_KEY
Input schema
knowledge_base_id
(string)output_language
(string)language_level
(string)messages
(array)markdown_response
(boolean)
addknowledgebasesources
Environment variables
API_KEY
Input schema
knowledge_base_id
(string)
listknowledgebasesources
Environment variables
API_KEY
Input schema
knowledge_base_id
(string)
getknowledgebasesource
Environment variables
API_KEY
Input schema
knowledge_base_id
(string)source_id
(string)
deleteknowledgebasesource
Environment variables
API_KEY
Input schema
knowledge_base_id
(string)source_id
(string)
createsource
Environment variables
API_KEY
Input schema
text_content
(string)title
(string)backlink
(string)valid_from
(string)valid_until
(string)project_id
(string)custom_metadata
(object)
listsources
Environment variables
API_KEY
Input schema
No input parameters
getsource
Environment variables
API_KEY
Input schema
source_id
(string)
modifysource
Environment variables
API_KEY
Input schema
source_id
(string)text_content
(string)title
(string)backlink
(string)valid_from
(string)valid_until
(string)project_id
(string)custom_metadata
(object)
deletesource
Environment variables
API_KEY
Input schema
source_id
(string)
getsourcecontent
Environment variables
API_KEY
Input schema
source_id
(string)
createproject
Environment variables
API_KEY
Input schema
name
(string)
listprojects
Environment variables
API_KEY
Input schema
No input parameters
getproject
Environment variables
API_KEY
Input schema
project_id
(string)
modifyproject
Environment variables
API_KEY
Input schema
project_id
(string)name
(string)
deleteproject
Environment variables
API_KEY
Input schema
project_id
(string)
getorganization
Environment variables
API_KEY
Input schema
No input parameters
createextraction
Environment variables
API_KEY
Input schema
model
(string)document
(string)expand_abbreviations
(boolean)
createclassification
Environment variables
API_KEY
Input schema
model
(string)document
(string)