totoy-ai
...
@open-mcp/totoy-ai
Using the remote server
To use the hosted Streamable HTTP server, add the following to your client config:
Forwarding variables
You can forward "environment" variables to the remote server by including them in the request headers or URL query string (headers take precedence). Just prefix the variable name with FORWARD_VAR_
like so:
Security
Sending authentication tokens as forwarded variables is not recommended
Installing locally
If you want to run the server locally on your own machine instead of using the remote server, 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:
Environment variables
OPEN_MCP_BASE_URL
- overwrites the base URL of every tool's underlying API requestAPI_KEY
- gets sent to the API provider
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)