Why Enterprises Need an MCP Gateway
As AI agents become central to enterprise workflows, organizations face critical challenges when scaling MCP server adoption:Fragmented Infrastructure
Fragmented Infrastructure
Without a centralized gateway, each developer manages their own MCP server connections. Teams configure VS Code, Cursor, and Claude Code individually, leading to inconsistent setups and duplicated effort across the organization.
Security & Credential Sprawl
Security & Credential Sprawl
API keys and credentials scatter across developer machines and tools. There’s no standard authentication flow for enterprise tools, making it impossible to enforce security policies or audit who has access to what.
Zero Visibility
Zero Visibility
IT and security teams have no insight into which tools are being used, by whom, or how frequently. Without observability, you can’t detect misuse, optimize costs, or meet compliance requirements.
No Governance
No Governance
Sensitive tools and data sources get exposed without proper access controls. There’s no way to require approvals for high-risk operations or enforce policies before tools execute.
Before vs After: The MCP Gateway Difference
| Without MCP Gateway | With TrueFoundry MCP Gateway |
|---|---|
| Multiple Connections AI agents require separate connections to each MCP server | Single Gateway Access AI agents connect to one gateway, access multiple MCP servers |
| Fragmented Configuration Each developer configures VS Code, Cursor, Claude Code individually | Unified Configuration Single configuration point for all AI development tools |
| Local Server Management Developers must install and manage MCP servers locally | Centralized Infrastructure Central IT manages cloud-hosted MCP infrastructure via streamable HTTP |
| Ad-hoc Authentication No standard authentication flow for enterprise tools | Standard OAuth Flows Developers use standard OAuth 2LO/3LO flows for enterprise MCP servers |
| Credential Sprawl Scattered API keys and credentials across tools | Secure Credential Management Centralized credential management with secure vault integration |
| No Observability No visibility into what tools teams are using | Full Audit Trail Complete visibility and audit trail for all tool usage |
| Security Risks Security risks from unmanaged tool sprawl | Governed Access Enterprise-grade security with governed tool access |
| Static Tool Access No dynamic tool discovery for autonomous agents | Dynamic Discovery Dynamic tool discovery and invocation for autonomous workflows |
| No Catalog No curated tool catalog for multi-tenant environments | Curated Registry Registry provides discoverable, curated MCP servers for multi-tenant use |
TrueFoundry MCP Gateway
TrueFoundry MCP Gateway is an enterprise-ready platform that centralizes access to AI development tools using the Model Context Protocol. Instead of managing hundreds of individual tool configurations across your development teams, provide secure, governed access to curated AI tools through a single platform.Architecture
TrueFoundry MCP Gateway Architecture
Key Features
1. Centralized MCP Registry
Register both public and self-hosted MCP servers in the TrueFoundry Control Plane. The control plane maintains the registry along with authentication mechanisms, handles user-specific OAuth2 flows, securely stores and refreshes access tokens, and ensures users can only access resources they are authorized for.3. Enterprise Security & Access Control
Comprehensive security built for enterprise needs:| Capability | Description |
|---|---|
| Authentication | OAuth 2.0, SAML, and enterprise SSO integration—users authenticate once through your existing identity provider |
| Fine-grained Permissions | Tool-level RBAC and ABAC policies for different teams, controlling access down to specific tools and read vs. write operations |
| Unified Access Keys | Generate a single Personal Access Token (PAT) to access all authorized models and MCP servers, or Virtual Account Tokens (VAT) for application-level access |
| Secure Credential Management | API keys and credentials stored in a secure vault—developers never handle raw credentials |
4. Agent Playground & Code Integration
Build and test agents directly in the browser using the playground. Experiment with prompts and MCP tools like Websearch, WebScraping, document extraction, and code execution. The gateway streams the agentic loop in real-time so you can watch LLM reasoning, tool calls, and responses as they happen. Ready-to-use code snippets help you integrate MCP servers into your applications quickly.
Agentic Loop in the TrueFoundry AI Gateway
5. MCP Guardrails
TrueFoundry offers MCP guardrails that apply before and after tool calls to enforce security best practices:| Guardrail Type | Description |
|---|---|
| Pre-execution Checks | Validate tool inputs, check for sensitive data, and enforce policies before any tool runs |
| Real-time Blocking | Block suspicious or unauthorized tool usage as it happens—prevent risky operations before they execute |
| Post-execution Validation | Inspect tool outputs for PII, secrets, or policy violations before returning results |
| User Approval Workflows | Require explicit approval for high-risk operations like deletions or write actions |
6. Observability & Audit
Full visibility into your AI tool usage across the organization:| Capability | Description |
|---|---|
| Request Logging | See exactly what tools AI assistants are calling, when, and with what parameters |
| Cross-Platform Monitoring | Unified visibility across Claude Code, Cursor, ChatGPT, and other AI clients through a single dashboard |
| Audit Compliance | Complete request/response logging for regulatory requirements, with every tool call available for compliance audits |