MCP Gateway Comparison:Lunar.dev MCPX vs. TrueFoundry
Compare Lunar.dev MCPX with TrueFoundry's AI Gateway. Lunar.dev is the MCP Gateway for secure and governed tool access. TrueFoundry is an AI deployment platform with a gateway component.
TrueFoundry is an end-to-end AI infrastructure platform. Its product surface includes LLM gateway, MCP gateway, agent gateway, model serving, and fine-tuning, all deployed via Kubernetes inside your environment.
Lunar.dev MCPX is the MCP Gateway for secure and governed tool access. It sits between AI agents and MCP servers, intercepting, authenticating, and governing every tool invocation using policies defined by your organization. Deploy in your VPC, on site, or in isolated networks.
Why teams choose Lunar.dev over TrueFoundry
Both platforms govern MCP traffic. The difference is depth and focus. Lunar.dev is built as a dedicated MCP gateway. TrueFoundry's MCP gateway is one feature inside a broader AI infrastructure platform. Four things set Lunar apart.
Four things set Lunar apart.
1.
Your teams are using MCP servers right now
Without visibility or governance, you have risks you don't know about. Shadow MCP servers are already in your environment.
2.
Dynamic tool discovery
Lunar's implementation of Anthropic's tool search - progressive disclosure in MCP that loads tool capabilities incrementally rather than flooding the LLM context upfront. Prevents context overload, improves response performance, and reduces token costs.
3.
Centralized MCP and Skills inventory
Maintain a shared catalog of approved MCP servers and Skills across your organization. Teams publish to the central inventory, agents discover from it - ensuring consistent, governed access to company resources without duplicating configurations or managing credentials in individual setups.
4.
Seamless Experience for Non-Technical Users
Unlocking AI adoption for business personas Admins pre-configure and "harden" tools with built-in restrictions before publishing them to the internal catalog. Authentication and guardrails run behind the scenes - business users access AI tools directly from their workspace without configuring credentials, policies, or ever seeing Lunar's infrastructure.
Side-by-side comparison
A quick look at how the two platforms stack up across the dimensions that matter for production MCP deployments.
Feature
Internal MCP Catalog
RBAC & Permissions
Dynamic tool Discovery
Hosting Capabilities
AI Gateway Integration
Skills
Security & Risk Mitigation Matrix
Security Capability
Server Validation
Secret Management
Approval Workflows
Anomaly Detection
Where the platforms overlap
Both Lunar.dev and TrueFoundry centralize MCP connections so every tool invocation is auditable instead of scattered across local developer environments. Both deploy inside your VPC. Both support open standards like OAuth 2.0 and OpenTelemetry. Both have been recognized by Gartner as Representative Vendors for AI Gateways.
The difference is what each platform does once that traffic is centralized, and how far it goes beyond connectivity into governance, identity, and adoption enablement.
Enable adoption, don't block it
Lunar gives teams approved tools with guardrails that stay out of the way. rewrite this
Intent-based discovery vs. static injection
Lunar.dev utilizes Intent-Based Discovery to solve context management. Using the defer_loading: true flag and a search primitive, the gateway moves from "Static Injection" to "Dynamic Selection"
Skills and Portability
In the Lunar ecosystem, a Skillset acts as the primary container, holding specific Tool Groups and MCP Prompts. This allows AI developers to build agnostic skills that are shared across agents and teams, ensuring consistent, deterministic behavior.
Tool Customization
Lunar's tool customization allows organizations to fine-tune and carefully scope the specific tools, parameters, and permissions an AI agent can access, even enabling administrators to instantly toggle specific tool functions (like read versus write access) without modifying any underlying code.
Architecture
Lunar.dev sits between agents and the systems they use (MCP servers, APIs, internal tools) as a dedicated focal point for every agent-to-resource interaction. Each agent environment has its own enforcement boundary and its own audit trail. TrueFoundry runs a single proxy plane shared across agents, optimized for raw throughput.
Contrast in System Design
A Gateway Plane built on the Hono framework. Stateless proxy with in-memory checks for authentication and rate-limiting, syncing configuration from the control plane via NATS. Optimized for throughput at 250 to 350 RPS per pod.
A microgateway runs per agent environment, each with its own enforcement boundary and its own audit trail. A failure or misuse in one workflow stays contained. Tool calls follow policy-controlled flows so agent behavior stays predictable.
Observability and Data Persistence
Full lineage by default
Lunar captures lineage across user, agent, model, MCP server, and the final tool or API invocation, mapping every action to a verified user identity. TrueFoundry surfaces aggregated gateway metrics in its internal UI.
Real-time audit trails to your SIEM
Lunar produces immutable, real-time logs of all agent activity, exported via OpenTelemetry to Splunk, Datadog, Grafana, or any SIEM your security team already runs. TrueFoundry persists logs to a Clickhouse and blob-storage backend behind its own dashboards.
Identity-aligned attribution
Lunar's architecture collects metrics at the individual Agent Environment level, providing a forensic-grade audit trail. That means visibility into who did what, with which tool, against which system. Aggregated gateway metrics can't answer those questions at the same resolution.
Which to choose
The decision comes down to Enterprise-grade readiness and aloowing ai enablement across the entire enterprise for both devleoprs and non tech . Are you looking for a centrelised sulotion to mange access for agents and users via a dedicated MCP gateway soultion, or an AI platform that includes a gateway among many other things?
Choose TrueFoundry if:
You require a simple, UI-driven playground for rapid prototyping and basic guardrails.
Your looking for your eng team an AI gateway with an add on of an mcp gateway.
Choose Lunar.dev if:
You want a dedicated MCP gateway focused on Enterprise governance, security, and visibility.
You need unified governance for agents accessing Skills, MCP servers, APIs, and LLMs
Security is critical - you require testing server behavior in isolation before deployment to protect against rug pull, tool poisoning, and version drift
You must optimize context windows and costs through Intent-Based Discovery and defer_loading mechanisms.
You require full lifecycle governance of the MCP ecosystem, including secret referencing, tool hardening, and OWASP-aligned risk scoring.
Frequently asked questions
Is Lunar.dev MCPX an alternative to TrueFoundry?
Lunar.dev MCPX is a dedicated MCP gateway. TrueFoundry is a full AI infrastructure platform that includes an MCP gateway alongside model serving, fine-tuning, and an LLM gateway. They overlap on the gateway layer. If you want a focused MCP control plane without committing to a full AI platform, Lunar.dev is the alternative. If you want a single vendor for the entire AI lifecycle, TrueFoundry's gateway is one of many features.
What does Lunar.dev MCPX do that TrueFoundry doesn't?
Three differentiators: a risk evaluation sandbox that tests MCP servers in isolation before production (Lunar.dev is currently the only provider offering this), a microgateway architecture that isolates each agent environment behind its own enforcement boundary, and reference-only secret management that never stores credentials in the gateway itself.
Can Lunar.dev MCPX be self-hosted?
Yes. Lunar.dev MCPX deploys in your VPC, on site, or in isolated networks. Audit data exports via OpenTelemetry to Splunk, Datadog, Grafana, or any SIEM you already run. The MCPX core is open source on GitHub. The enterprise edition adds centralized management, RBAC, advanced auditing, and dedicated support.
Is Lunar.dev MCPX open source?
Yes. The MCPX core is open source. The enterprise edition is built for production with centralized management, role-based access control, advanced auditing and observability, and dedicated support.
Does Lunar.dev MCPX work with any LLM provider?
Yes. Lunar.dev MCPX is model-agnostic. It governs the MCP traffic between your agents and your tools regardless of which model you use. Bring any model strategy and Lunar governs the rest
Faster AI Adoption. Zero Loss of Control.
Adopt an enterprise MCP gateway now, then unify governance across LLM and API traffic as usage scales.
