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Gin
Model Context Protocol moderate risk

Gin

Gin-MCP bridges Gin APIs to MCP clients with zero-config, automatically exposing endpoints as tools for AI assistants and other MCP-enabled applications.

Connections & Capabilities

Connects To

GitHub

Capabilities

readwrite

Exposed MCP Tools (2)

safe
GET_ping

Responds with a 'pong' message to check API availability.

Read-only operation with no side effects.

safe
GET_users_id

Retrieves user information based on the provided user ID.

Read-only operation that retrieves user data.

Safety Assessment

Gin-MCP is relatively safe for read-only APIs or APIs with well-defined schemas. However, it becomes risky when used with APIs that handle sensitive data or perform destructive operations without proper authentication and authorization mechanisms. Careful consideration should be given to the exposed endpoints and the potential impact of unauthorized access.

  • Automatic discovery of routes reduces manual configuration errors.
  • Schema inference simplifies tool creation and reduces potential schema mismatches.
  • Filtering options (tags, operation IDs) allow selective exposure of endpoints.
  • Can be deployed within an existing Gin application, limiting external exposure.
  • Automatic schema inference might not always be accurate, requiring manual adjustments.
  • Exposes API endpoints to MCP clients, potentially increasing the attack surface.
  • Lack of built-in authentication mechanisms in the basic setup requires external implementation.
  • Improperly configured BaseURL can lead to incorrect routing and potential information disclosure.
  • Over-reliance on automatic discovery can lead to unintended exposure of sensitive endpoints.
Gin Review, Pricing & Alternatives (2026) | Flaex AI