Mcp Gateway
Enterprise AI security for agentic systems — discover, assess, protect every AI agent.
Lasso is the most complete agentic AI security platform we've reviewed — its 3,000+ attack library, intent-based detection, and multi-gateway support are unmatched. But there's no transparent pricing or self-serve tier, so it's only viable for enterprises with budget and dedicated security staff. If you need agent-specific threats handled end-to-end, Lasso is a top pick; otherwise consider lighter options.
Verified 6d ago · liveness 68/100 · cite: rightaichoice.com/tools/mcp-gateway
- Enterprise security teams managing agentic AI at scale
- AI platform teams needing centralized governance and runtime enforcement
- Compliance officers ensuring NIST and OWASP alignment for AI
- Developers building secure-by-design agentic applications with shift-left security
- Individual developers or small teams without dedicated security resources
- Teams seeking a simple, free MCP broker without compliance features
- Organizations not yet using agentic AI or LLM-based applications
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Skip Lasso if you lack a dedicated security team or enterprise budget, since it requires contact-based pricing and deep expertise to operationalize its capabilities.
Custom enterprise pricing likely includes annual contracts and minimum commitments, with no self-serve or usage-based plans.
Lasso targets large enterprises with security budgets, offering deep agentic AI protection unmatched by cheaper tools like guardrail libraries or basic gateways. For smaller teams, alternatives like Datadog AI Security or open-source guardrails may be more cost-effective.
In short
Mcp Gateway — Enterprise AI security for agentic systems — discover, assess, protect every AI agent. Best for Enterprise security teams managing agentic AI at scale, AI platform teams needing centralized governance and runtime enforcement, Compliance officers ensuring NIST and OWASP alignment for AI. Contact Sales pricing.
What's new in Mcp Gateway
Checked 6 days agoAcross the latest 5 updates: 1 feature update and 4 news mentions.
How to Build an AI Threat Modeling Process for Agentic Systems
Guide covering risk identification and mitigation for agentic AI systems.
Lasso Security Now Integrates with TrueFoundry AI Gateway
Announces integration with TrueFoundry AI Gateway, extending security coverage to new deployments.
AI Compliance Framework: Key Components, Challenges & Best Practices
Outlines key components and challenges for enterprise AI compliance.
AI Security Best Practices: How to Build Secure AI Workflows
Details best practices for securing AI workflows, including data protection and access controls.
Claude Code Security: Autonomous Coding Agents Need a New Security Layer
Discusses security risks of Claude Code and the need for specialized protection for autonomous coding agents.
What people actually say about Mcp Gateway — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
73 mentions across 5 sources (Hacker News, YouTube, Product Hunt, GitHub, Lemmy) · researched Aug 17, 2026.
- +Turns REST/gRPC APIs into MCP endpoints with zero code changes.
- +Lightweight and open-source, with Docker support for quick deployment.
- +Integrates with major AI gateways like Kong, Portkey, and LiteLLM.
- +Addresses the real problem of MCP tool overload for enterprise teams.
- +Backed by Docker's brand, lending credibility and a large user base.
- −Security features lack community validation — users haven't confirmed them.
- −Open-source version has 120 open issues, raising reliability concerns.
- −Handling API version changes or breaking changes is unclear.
- −No clarity on whether transformation is instant or requires schema tweaks.
- −Enterprise pricing is opaque, hindering adoption decisions.
- • Implementation time and configuration effort for enterprise features
- • Possible per-agent or per-seat licensing at scale
Viability Score
How well maintained and how widely used is Mcp Gateway? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- AI agent discovery and inventory (AI-BOM) via platform and CI integrations
- Security posture management with NIST and OWASP compliance alignment
- Supply chain risk assessment for AI dependencies
- Automated red teaming with 3,000+ adversarial attacks across OWASP Top 10
- Multi-turn agentic attack simulation tailored to your use case
- Context poisoning and tool chain manipulation testing
- Runtime enforcement inline at proxy, API, or AI Gateway layer
- AI Detection & Response (AI-DR) with MITRE and OWASP detection
- Intent analysis for behavioral anomaly detection
- Real-time threat detection with 98.6% accuracy and sub-50ms latency
- Integration with AI gateways: Kong, Portkey, LiteLLM, Envoy, TrueFoundry
- GitHub CI/CD integration for shift-left security
- Shadow AI detection across cloud platforms (AWS, Azure, GCP)
- Patents-pending innovation on proprietary AI security technology
- Full attack context and impact analysis for every threat
About Mcp Gateway
Lasso is an enterprise AI security platform built for the agentic era, giving security teams a single console to discover, assess, and protect AI agents and applications across the full lifecycle. It's designed for organizations adopting agentic AI at scale — where agents become a critical attack surface and traditional rules-based security falls short. Lasso connects discovery, AI risk management, automated red teaming, and runtime protection in a continuous loop, so every agentic application behaves within its intended scope. At its core, Lasso provides continuous agent discovery and AI-BOM inventorying, mapping models, system prompts, tools, and guardrails to eliminate shadow AI. Its AI Security Posture Management analyzes exposures, misconfigurations, and supply chain risk, aligned with NIST and OWASP frameworks. The automated red teaming engine runs a 3,000+ attack library tailored to OWASP Top 10 for LLMs, including multi-turn agentic attacks, context poisoning, and tool chain manipulation — with adversarial recon before every dynamic attack. Runtime enforcement happens inline at the proxy, API, or AI Gateway layer with zero-latency decision making, and AI Detection & Response (AI-DR) identifies MITRE and OWASP threats with 98.6% accuracy and sub-50ms latency. Lasso integrates with AI gateways like Kong, Portkey, LiteLLM, Envoy, TrueFoundry, and recently added TrueFoundry AI Gateway. The Intent Security Framework analyzes the intent behind agent actions, a step beyond static rules. Positioned as the purpose-built security layer for agentic AI, Lasso differs from general-purpose AI gateways or guardrail tools by focusing on agent-specific threats, offering a unified lifecycle approach that's hard to match. But it's aimed squarely at enterprises with dedicated security teams — not a self-serve tool for smaller organizations.
Behind the Verdict
Lasso stands out as the most comprehensive agentic AI security platform we've evaluated. Its 3,000+ attack library, multi-turn agentic attack simulation, and intent-based detection genuinely set it apart from general-purpose AI gateways or guardrail tools. The runtime enforcement inline at the proxy/API/gateway layer with sub-50ms latency is impressive, and the AI-DR capability provides actionable context on every threat. However, Lasso is an enterprise-only product. There's no transparent pricing and no self-serve signup, which makes it inaccessible for small teams or individual developers. If your organization doesn't have a dedicated security team or a mature AI governance process, Lasso's depth may be overkill. Also, while it integrates with major gateways (Kong, Portkey, LiteLLM, Envoy, TrueFoundry), you'll need to ensure your infrastructure matches. Where it fits: enterprises that are deploying agentic AI at scale and need to meet compliance requirements (NIST, OWASP), or that want to shift-left security into CI/CD. Where it doesn't: small startups without security resources, or teams just looking for a simple guardrail filter. Overall, Lasso is a top pick for enterprises serious about agentic AI security, but only if you have the budget and team to use it fully. If you need a lighter alternative, consider guardrail-only tools or general AI gateways with built-in security features.
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Real-world workflow fit
Concrete scenarios for the personas Mcp Gateway actually fits — and what changes day-one when you adopt it.
You need to audit all AI agents across AWS, Azure, and GCP to meet NIST compliance.
Outcome: Lasso discovers all agents, builds an AI-BOM, runs posture assessments, and generates compliance-aligned reports within days.
You're deploying a new agentic app behind Kong and need continuous security.
Outcome: Lasso integrates with Kong, enforces runtime policies with sub-50ms latency, and provides AI-DR alerts on attacks.
You want to shift-left security into your GitHub CI/CD pipeline.
Outcome: Lasso's GitHub integration automatically scans new code for vulnerabilities before production, reducing risk early.
Use Cases
- Discover and inventory all AI agents deployed across multi-cloud environments.
- Automate security posture assessments aligned with NIST and OWASP frameworks.
- Run adversarial red teaming with 3,000+ attacks to identify agent vulnerabilities.
- Enforce runtime policies to block malicious or policy-violating agent actions.
- Integrate AI security into CI/CD pipelines via GitHub for shift-left protection.
- Monitor and manage prompt injection risks across MCP-based agentic workflows.
Limitations
- Lasso is an enterprise-focused AI security platform with contact-based pricing and no self-service signup or free tier, which may limit accessibility for smaller teams.
- The platform supports deployment at proxy, API, and AI Gateway layers, and integrates with various gateways and CI/CD pipelines, but organizations using less common infrastructure may need custom setup.
- The platform covers a range of AI security capabilities including discovery, posture management, red teaming, and runtime enforcement.
as of 2026-08-17
Verification history
We have re-verified Mcp Gateway 5 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Mcp Gateway's pricing actually pencils out — and where peers do it cheaper.
Lasso targets large enterprises with security budgets, offering deep agentic AI protection unmatched by cheaper tools like guardrail libraries or basic gateways. For smaller teams, alternatives like Datadog AI Security or open-source guardrails may be more cost-effective.
Setup time & first value
How long it actually takes to get something useful out of Mcp Gateway — broken out by persona, not the marketing-page minute.
Enterprise setup may take 2-4 weeks for full integration, including agent discovery, policy configuration, and team training. Basic gateways can be connected in days, but advanced red teaming and posture baselining extend the timeline.
Switching to or from Mcp Gateway
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual agent inventory: Lasso's CI integration automates discovery, replacing spreadsheets.
- →From cloud guardrails (e.g., AWS Macie): Lasso adds agent-specific threat detection and red teaming.
- ↗To open-source guardrails (e.g., Guardrails AI): for teams needing only basic filtering without enterprise features.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Mcp Gateway
Common stack mates teams adopt alongside Mcp Gateway, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Mcp Gateway vs Push Security
Choose Push Security if your priority is browser-side attack prevention (AiTM, session hijacking) and controlling employee AI tool usage without switching browsers. Choose Mcp Gateway if you need to govern agentic AI at scale—inventory agents, test adversarial attacks, and enforce compliance (NIST/OWASP). For most organizations, Push is the tactical choice for immediate browser threats; Mcp Gateway is strategic for managing internal AI development and supply chain risk.
Mcp Gateway vs Sublime Security
Choose Mcp Gateway if your priority is securing AI agents, models, and data flows at scale with compliance and red teaming. Choose Sublime Security if you need advanced, low-false-positive email threat detection and response. They address distinct security domains—AI infrastructure vs. email—so the decision hinges on your most urgent threat surface.
Mcp Gateway vs Audioeye
Choose Mcp Gateway if you're securing enterprise agentic AI deployments and need deep security posture management, adversarial testing, and runtime policy enforcement. Choose AudioEye if your priority is web accessibility compliance with automated scanning and expert audits to reduce legal risk. They solve entirely different problems.
Alternatives to Mcp Gateway
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