Model Context Protocol moderate risk

Openapi

OpenAPI-MCP generates MCP tool definitions from OpenAPI/Swagger specifications, enabling AI agents to interact with any API described by standard OpenAPI specifications.

Connections & Capabilities

Connects To

GitHubDocker

Capabilities

readwriteexec

Exposed MCP Tools (4)

safe

get_weather_data

Retrieves weather data based on specified parameters.

Read-only operation; retrieves data without modifying any resources.

moderate

post_comment

Posts a comment to a specified resource.

Adds data, but does not modify existing data.

high

update_settings

Updates settings for a specific resource.

Modifies existing configurations, potentially impacting functionality.

critical

delete_resource

Deletes a specified resource.

Destructive operation that permanently removes data.

Safety Assessment

OpenAPI-MCP is relatively safe when used with trusted APIs and properly configured API keys. However, exposing internal APIs to AI agents introduces risks, especially if the OpenAPI specifications are not well-secured or if rate limiting is not implemented. It is crucial to carefully review the OpenAPI specification and configure API key management securely.

API keys are securely managed and hidden from the MCP client.
Supports filtering operations by tags and operation IDs.
Dockerized environment provides some level of isolation.
Can be configured to use environment variables for sensitive data.

Exposes internal APIs to AI agents, increasing the attack surface.
Improperly configured API keys can lead to unauthorized access.
Vulnerable OpenAPI specifications can be exploited.
Lack of rate limiting could lead to abuse of the proxied API.
No built-in RBAC (Role-Based Access Control).