Description

🖼️ Tool Name:
AgentPass.ai

🔖 Tool Category:
Secure Credential & Access Management Platform for AI Agents – purpose-built for enterprises deploying AI agents with secure, auditable, and scalable API access using the Model Context Protocol (MCP).

✏️ What does this tool offer?
AgentPass.ai makes it easy for teams to securely connect AI agents (like ChatGPT, Claude, and other LLM-based agents) to real-world tools and APIs. It automatically turns OpenAPI specifications into fully functional and secure MCP tool endpoints without writing a single line of backend code.

It acts as a “security and control layer” between AI agents and your infrastructure, allowing you to:
• Control what tools an agent can access
• Define who can use what with role-based access
Audit and monitor every interaction between agents and tools
• Deploy to multiple environments (development, staging, production)
• Maintain full observability, including latency and usage data

Whether you're experimenting with agents or deploying them at scale, AgentPass ensures every action is secure, structured, and trackable.

What does the tool actually deliver based on user experience?
• Converts OpenAPI files into MCP-compatible tools in seconds
• Simplifies agent deployment for teams — no backend needed
• Secure API calls with built-in authentication and authorization layers
• Full dashboards for tracking agent activity, latency, and usage
• Separate tenants/environments to isolate different projects or teams
• Reduces deployment time by up to 90% compared to custom infrastructure
• Works across many agent frameworks, including LangChain, AutoGPT, CrewAI, and more
• Trusted by enterprise teams handling sensitive workflows and regulated data

🤖 Does it include automation?
Yes — AgentPass is highly automated at every level:
• Automatically parses OpenAPI specs and creates tool definitions
• Sets up full authentication and RBAC without manual config
• Handles versioning, tool updates, and permission changes dynamically
• Auto-generates audit logs and monitoring dashboards
• Deploys new agent environments in minutes, not weeks

💰 Pricing Model:
Freemium + Subscription-based paid plans

🆓 Free Plan Details:
• Free plan available
• Includes essential features to get started:
– 1 tenant (e.g., test or dev)
– Basic API tooling
– MCP hosting
• Great for individual developers, startups, or prototyping teams

💳 Paid Plan Details:
• Starts at $99/month per tenant
• Paid plans include:
– Multi-tenant support (dev/stage/prod)
– Role-based access control (RBAC)
– Enterprise monitoring & logging
– SLAs, uptime guarantees, and audit logs
– Premium support and custom infrastructure options for high-security clients

🧭 Access Method:
• Cloud-based platform — no installation required
• Upload your OpenAPI spec, configure access settings, and deploy your MCP tools
• Integrates with AI agents that support the Model Context Protocol

🔗 Experience Link:
• Website: https://agentpass.ai
• Also featured on platforms like FutureTools, SourceForge, and GitHub (for early reviews and use cases)

Pricing Details

AgentPass.ai offers a freemium pricing model ideal for both individuals and enterprise teams. The free plan includes one tenant, basic API tooling, and MCP hosting—perfect for testing and early development. Paid plans start at $99/month per tenant and unlock features like multi-tenant support, role-based access control (RBAC), enterprise-grade monitoring, audit logs, and service-level guarantees. These plans also include premium support and optional custom infrastructure for high-security environments. Everything is cloud-based—just upload your OpenAPI spec, configure access, and deploy. AgentPass is built for teams needing speed, control, and secure AI-agent integrations.