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Securely expose OpenAPI endpoints as MCP tools with auth, limits, and auditing.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-tool-gateway" yet — see the docs or source repo.
Design a setup using mcp-tool-gateway to expose our internal OpenAPI services as MCP tools with JWT authentication, rate limiting, prompt-injection inspection, and audit logging. Provide the architecture, key configuration items, and rollout considerations.
A practical integration plan showing how to securely expose internal APIs for AI agents.
Using mcp-tool-gateway, create an AI tool invocation security policy covering JWT authentication, request rate limiting, injection attack inspection, audit logging, and incident handling, with recommendations suitable for enterprise environments.
A clear security governance policy for standardizing AI tool access and risk control.
I am evaluating our current AI tool gateway. Using mcp-tool-gateway as the benchmark, generate an assessment checklist and improvement recommendations across authentication, rate limiting, OpenAPI-to-MCP conversion, prompt-injection protection, and audit traceability.
A dimension-by-dimension assessment checklist with recommendations to identify security and integration gaps.
Help AI agents discover and run enterprise tools securely.
Secure MCP servers with policy checks, redaction, access control, and audit logs
Turn any OpenAPI spec into callable MCP tools instantly.
Connect multiple MCP servers through one gateway for unified tool access.
Securely equips AI agents with executable tools for commands, search, and file operations.
Turn any OpenAPI API into callable AI tools with authentication support.