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Model Context Protocol (MCP) is an open standard that enables AI assistants to securely connect to data sources and tools. As AI systems evolve from simple chat interfaces to tool-using agents, MCP provides the standardized interface for these connections. Truefoundry MCP Gateway enables organizations to centralize access to MCP servers and provides a unified interface for AI agents to access them.

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Why Enterprises Need an MCP Gateway

As AI agents become central to enterprise workflows, organizations face critical challenges when scaling MCP server adoption:
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.
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.
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.
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.

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Before vs After: The MCP Gateway Difference

Comparison showing fragmented MCP connections without a gateway versus unified access with TrueFoundry MCP Gateway
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

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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.

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Architecture

Architecture diagram showing TrueFoundry MCP Gateway connecting AI clients to multiple MCP servers through a unified interface

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Key Features

Use these guides to configure the MCP Gateway features that centralize server registration, authentication, access control, and tool consumption.

Get started with MCP Gateway

Register MCP servers, configure collaborators, and make servers available through the Gateway.

Authentication and security

Configure inbound authentication, outbound authentication, access control, and token management.

Auth overrides

Let users or virtual accounts supply their own upstream credentials for per-user server access.

Connect from your IDE

Add Gateway-hosted MCP servers to Cursor, Claude Code, VS Code, and other MCP clients.

Virtual MCP servers

Curate tools from multiple MCP servers into one server for a team, workflow, or application.

OpenAPI to MCP server

Convert existing OpenAPI specifications into MCP tools without writing a custom server.

Hosted stdio MCP servers

Run CLI-style MCP servers with managed commands, arguments, environment variables, and credentials.

MCP guardrails

Apply pre-tool and post-tool checks to enforce policies before and after MCP tool calls.

MCP metrics

Monitor MCP server and tool-level request rates, latency, failures, and usage patterns.