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Gqai

Safety: 60/100

0.0(0)

Gqai exposes GraphQL operations as MCP tools, enabling AI models to interact with GraphQL backends using defined queries and mutations.

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Overview

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.

Go21 starsMIT

Connections & Capabilities

Connects To

GitHub

Capabilities

ReadWrite

Client Compatibility

Claude Desktop

full

Cursor

untested

Windsurf

untested

VS Code (Copilot)

untested

Quickstart

Claude Desktop Config

{
  "gqai": {
    "command": "gqai",
    "args": [
      "run",
      "--config",
      ".graphqlrc.yml"
    ]
  }
}

Environment Variables

VARNAMEMY_AUTH_TOKENMY_SCHEMA_URLMY_DOCS_PATHMY_INCLUDEMY_EXCLUDE

Tools (2)

safe

get_all_films

Retrieves a list of all Star Wars films.

Read-only operation, no data modification.

safe

get_film_by_id

Retrieves details of a specific film by its ID.

Read-only operation, no data modification.

Security

Auth Method

Environment Variable

Known Risks

!Exposure of sensitive data through poorly designed GraphQL queries.
!Unauthorized modifications via GraphQL mutations if permissions are not properly configured.
!Potential for denial-of-service attacks if the GraphQL endpoint is not rate-limited.
!Environment variable misconfiguration leading to credential exposure.
!Injection vulnerabilities in GraphQL queries if user inputs are not properly sanitized.

Safety Score

moderate risk

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.

Positive

+Relies on GraphQL backend's security for data access.
+Operations are defined through GraphQL queries, limiting potential for arbitrary code execution.
+Uses `.graphqlrc.yml` for configuration, allowing centralized management.
+Can leverage environment variables for sensitive information like API keys.

Risks

-Exposes GraphQL endpoint to AI models, potentially increasing attack surface.
-Improperly configured GraphQL schema or operations could lead to data leaks or unauthorized modifications.
-Lack of built-in rate limiting could lead to abuse or denial-of-service.
-If environment variables are not properly secured, secrets could be exposed.
-The tool's access is only as secure as the underlying GraphQL API.

Use Cases

Content Retrieval

-Fetching product details from an e-commerce platform.
-Retrieving user information from a social media API.
-Accessing movie data from a film database.

Data Aggregation

-Combining data from multiple GraphQL endpoints into a single response.
-Creating custom reports based on data from various sources.
-Building dashboards with real-time data updates.

Workflow Automation

-Triggering actions in other systems based on GraphQL data changes.
-Automating data synchronization between different platforms.
-Creating custom integrations with third-party services.

Who Is This For?

Best For

Developers who want to expose GraphQL APIs to AI models.
Organizations that need to integrate AI with existing GraphQL backends.
Teams that want to automate workflows using GraphQL data.
Scenarios where a lightweight proxy is needed to translate GraphQL operations into MCP tools.

Not Ideal For

Applications that require real-time data streaming.
Use cases that involve complex data transformations or aggregations.
Environments where strict security controls and auditing are required.

Autonomy & Execution

Default ModeConfigurable

Autonomy is limited by the permissions granted to the GraphQL operations. Ensure proper authorization and validation are in place to prevent unintended actions.

StatelessYes

Retry LogicNot documented

ConcurrencyNot documented

Production Tip

Monitor the performance and error rates of your GraphQL operations to ensure the stability and reliability of your gqai-powered tools.

FAQ

What is the purpose of gqai?

Gqai exposes GraphQL operations as Model Context Protocol (MCP) tools for AI models.

How do I configure gqai?

Gqai is configured using a `.graphqlrc.yml` file that defines the GraphQL endpoint and operations.

Can I use environment variables in the configuration?

Yes, you can use environment variables in the `.graphqlrc.yml` file for sensitive information like API keys.

How do I test gqai?

You can use the `gqai tools/call` command to execute GraphQL operations from the command line.

What security considerations should I keep in mind?

Ensure that your GraphQL backend is properly secured and that you are using appropriate authorization mechanisms.

Does gqai support authentication?

Authentication is handled through the GraphQL backend. You can specify headers in the `.graphqlrc.yml` file to pass authentication tokens.

What happens if a GraphQL operation fails?

Errors are returned in the GraphQL response. You should handle these errors appropriately in your AI model.

Metrics

Discovered2/14/2026

Reviews0

Saved By0 users

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