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Gqai exposes GraphQL operations as MCP tools, enabling AI models to interact with GraphQL backends using defined queries and mutations.
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Gqai exposes GraphQL operations as MCP tools, enabling AI models to interact with GraphQL backends using defined queries and mutations.
Gqai's safety depends heavily on the security of the underlying GraphQL API and the configurations defined in .graphqlrc.yml. It is relatively safe when used with read-only queries and a well-secured GraphQL backend. However, it becomes risky if mutations are exposed without proper authorization or if environment variables containing sensitive information are not adequately protected.
Performance is primarily determined by the GraphQL backend's efficiency and network latency. Optimize GraphQL queries and use caching mechanisms to improve response times.
Cost depends on the usage of the GraphQL API, including the number of requests and the amount of data transferred. Consider implementing rate limiting and query optimization to minimize costs.
{
"gqai": {
"command": "gqai",
"args": [
"run",
"--config",
".graphqlrc.yml"
]
}
}VARNAMEMY_AUTH_TOKENMY_SCHEMA_URLMY_DOCS_PATHMY_INCLUDEMY_EXCLUDEget_all_filmsRetrieves a list of all Star Wars films.
Read-only operation, no data modification.
get_film_by_idRetrieves details of a specific film by its ID.
Read-only operation, no data modification.
Environment Variable
Gqai's safety depends heavily on the security of the underlying GraphQL API and the configurations defined in `.graphqlrc.yml`. It is relatively safe when used with read-only queries and a well-secured GraphQL backend. However, it becomes risky if mutations are exposed without proper authorization or if environment variables containing sensitive information are not adequately protected.
Autonomy is limited by the permissions granted to the GraphQL operations. Ensure proper authorization and validation are in place to prevent unintended actions.
Production Tip
Monitor the performance and error rates of your GraphQL operations to ensure the stability and reliability of your gqai-powered tools.
Gqai exposes GraphQL operations as Model Context Protocol (MCP) tools for AI models.
Gqai is configured using a `.graphqlrc.yml` file that defines the GraphQL endpoint and operations.
Yes, you can use environment variables in the `.graphqlrc.yml` file for sensitive information like API keys.
You can use the `gqai tools/call` command to execute GraphQL operations from the command line.
Ensure that your GraphQL backend is properly secured and that you are using appropriate authorization mechanisms.
Authentication is handled through the GraphQL backend. You can specify headers in the `.graphqlrc.yml` file to pass authentication tokens.
Errors are returned in the GraphQL response. You should handle these errors appropriately in your AI model.