Mcp Gateway
MCP and agent security for enterprises, from AI-BOM inventory to inline runtime enforcement.
If your agents touch production data and you answer to a security review, Lasso covers a wider lifecycle than gateway-native guardrails or standalone red-team tools. The 3,000+ attack library, the intent-based detection, and inline enforcement at the Kong, Portkey, LiteLLM, or Envoy layer are the parts worth paying for. It is agent-specific security rather than a general gateway or a guardrail filter, so it sits above tools like LiteLLM or Portkey that route traffic. It is not a fit for a solo developer wiring up an MCP server.
Verified 6d ago · liveness 68/100 · cite: rightaichoice.com/tools/mcp-gateway
- Enterprise security teams needing discovery, red teaming, and runtime enforcement in one console
- CISOs and compliance leads who must show NIST and OWASP alignment
- AI platform teams running traffic through multiple gateways
- AppSec teams adding autonomous coding agents like Claude Code to the threat model
- Individual developers or small teams without dedicated security staff to operate the platform
- Teams that only need a lightweight MCP broker or prompt-injection filter
- Companies not yet running agents or LLM applications in production
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Skip Lasso if you only need a lightweight MCP broker or a prompt-injection filter and have no dedicated security staff to run discovery, red teaming, and inline enforcement.
Runtime enforcement only pays off once traffic actually flows through a supported gateway layer, so you may need gateway or proxy engineering work before protection covers everything.
Lasso is priced and positioned for enterprises with a security function — mid-market to large organizations running agents in production and answering to audits. It is not a low-cost entry point like a gateway add-on or a standalone guardrail filter, and it is not a general data security suite either. Judge it against what you would otherwise spend assembling discovery, red teaming, and inline enforcement separately.
In short
Mcp Gateway — MCP and agent security for enterprises, from AI-BOM inventory to inline runtime enforcement. Best for Enterprise security teams needing discovery, red teaming, and runtime enforcement in one console, CISOs and compliance leads who must show NIST and OWASP alignment, AI platform teams running traffic through multiple gateways. Contact Sales pricing.
What's new in Mcp Gateway
Checked 6 days agoAcross the latest 4 updates: 1 launch and 3 news mentions.
Bringing Claude Enterprise Activity Into Lasso With Claude's Compliance API
Lasso's integration with Claude's Compliance API is generally available. Claude users appear in the inventory as agents with their MCP servers and skills, and Claude Enterprise conversation content is inspected for sensitive data and secrets.
Lasso Named to the Inaugural Allied Defense 100
Lasso was recognized in the Allied Defense 100, a list of top defense and security companies, for its role in agentic AI security.
Lasso Wins The Hacker News Cybersecurity Stars Award for Agentic AI Security
Lasso won The Hacker News Cybersecurity Stars Award, cited as validation of its work securing agentic AI.
Claude Code Security: Autonomous Coding Agents Need a New Security Layer
Lasso argues autonomous coding agents like Claude Code need a dedicated security layer, and positions its runtime enforcement as that layer for AppSec teams.
What people actually say about Mcp Gateway — is it worth it?
We scanned public community sources for Mcp Gateway on Aug 17, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
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: October 2026
How we score →Key Features
- AI agent discovery and inventory via AI-BOM
- CI integration that automatically discovers homegrown AI applications
- Inventory maps models, system prompts, tools, and guardrails
- Tracks red teaming scans and policies in one inventory
- AI Security Posture Management with NIST and OWASP alignment
- Supply chain risk assessment across models and AI dependencies
- Proactive exposure assessment of what agents can reach
- Automated AI Red Teaming with a 3,000+ attack library
- Multi-turn agentic attacks tailored to your application
- Context poisoning and tool chain manipulation testing
- Adversarial recon before every dynamic attack
- Purple teaming that auto-updates policies from red-team findings
- Runtime Enforcement inline at proxy, API, or AI Gateway layer
- AI Detection & Response with intent-based behavioral analysis
- Claude Enterprise activity, MCP servers, and skills pulled into inventory
About Mcp Gateway
Lasso is an enterprise AI security platform for teams running agents and LLM applications in production. It covers three phases: discovery, assessment, and protection. Discovery & AI-BOM finds agents through platform integration and uses a CI connection to automatically discover homegrown applications, then inventories every agent and application while mapping models, system prompts, tools, and guardrails. AI Security Posture Management analyzes what your agents are exposed to, what actions they can perform, and what sensitive data they can reach, with misconfiguration and policy-gap analysis plus supply chain risk assessment aligned to NIST and OWASP. Automated AI Red Teaming attacks your own agents with a 3,000+ attack library spanning the OWASP Top 10, including multi-turn agentic attacks, context poisoning, and tool chain manipulation, with adversarial recon before each dynamic attack and purple-team policy updates afterward. Runtime Enforcement then enforces policies inline at the proxy, API, or AI Gateway layer, giving portfolio-wide visibility with remediation guidance and zero-latency decisions. Detection is wired to AI gateways including Kong, Portkey, LiteLLM, Envoy, and TrueFoundry, and a newer integration pulls Claude Enterprise and Claude Platform activity, MCP servers, and skills into the same inventory. It is built for organizations with a security function, not for solo builders.
Behind the Verdict
Lasso's strongest argument is coverage of the whole lifecycle in one console: discover agents via AI-BOM and CI, assess posture against NIST and OWASP, attack your own agents with a 3,000+ technique library, then enforce policy inline where traffic actually flows. Most competitors do one of those three. The red-team side is unusually concrete — multi-turn agentic attacks, context poisoning, tool chain manipulation, adversarial recon before every dynamic attack, and purple-teaming that feeds findings back into policy — which is the loop security teams normally assemble by hand. The protection side sits inline at the proxy, API, or AI Gateway layer with zero-latency decisions, and because it analyzes intent rather than static patterns it is aimed at the non-deterministic behavior that makes fixed rules misfire on agents. The Claude Compliance API integration is the most useful recent addition for Claude Enterprise shops: every Claude user appears as an agent in the inventory with the MCP servers and skills they use, conversation content is inspected for sensitive data and secrets, and violations flow into the SIEM or SOAR triage workflow an analyst already uses. Weaknesses are structural rather than technical. This is a platform to operate, not a filter to install: it expects gateway or proxy integration, a real deployment project, and staff who own AI security. Organizations on less common infrastructure will need custom setup where gateway-specific connectors don't line up. Coverage is agent- and LLM-centric, so it is not a general data security or endpoint tool. Analyst attention has followed — named a Leader in Latio's 2026 AI Security Market Report, a sample vendor in Gartner's Hype Cycle for AI, 2026, and recognized in the Allied Defense 100 and The Hacker News Cybersecurity Stars Award in August 2026.
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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.
Connect CI to auto-discover homegrown AI applications, let AI-BOM inventory models, prompts, tools, and guardrails, then review the posture report against NIST and OWASP. After that, run an AI red-teaming campaign against the highest-risk agents to see what actually breaks.
Outcome: One console shows which agents exist, what they can reach, and which exploitable vulnerabilities were confirmed rather than assumed.
Deploy Runtime Enforcement inline at the gateway layer, turn on AI Detection & Response, and let intent-based policy decisions block violations as they happen. Route everything that fires into the existing SIEM triage queue.
Outcome: Policy is enforced consistently across both gateways with zero-latency decisions instead of per-gateway rule sets that drift.
Generate a Compliance API key in the Claude organization, add it to Lasso, and pull activity into the inventory. Then review each user's timeline of connected MCP servers and invoked skills and classify their activity against company policy.
Outcome: Claude usage, MCP servers, and skills appear next to the rest of the AI inventory, with secrets and policy violations flagged and auditable.
Use Cases
- Inventory every AI agent and application across multi-cloud environments.
- Assess security posture against NIST and OWASP frameworks automatically.
- Red team agents with a 3,000+ attack library before attackers do.
- Enforce runtime policy inline to block malicious or policy-violating agent actions.
- Discover homegrown AI apps through CI so shadow AI stops being invisible.
- See which MCP servers and skills employees connect through Claude Enterprise.
- Inspect Claude conversation content for leaked secrets and sensitive data.
- Route policy violations into the SIEM or SOAR triage your analysts already use.
Limitations
- Lasso is an enterprise security platform rather than a lightweight MCP broker, and it expects gateway or proxy integration plus staff to operate it.
- Deployment at the proxy, API, and AI Gateway layers leans on connectors for Kong, Portkey, LiteLLM, Envoy, and TrueFoundry, so organizations on less common infrastructure may need custom setup.
- The platform spans discovery, posture management, red teaming, and runtime enforcement, with framework alignment to NIST and OWASP, which means a real onboarding and policy-authoring effort rather than a single install.
- Coverage is agent- and LLM-centric: it is not a general data security, endpoint, or network tool, and standalone red-team findings need the runtime enforcement layer connected to act on them.
as of 2026-10-03
Verification history
We have re-verified Mcp Gateway 8 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-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
- — 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-checked, vendor evidence unchanged
Showing the 6 most recent of 8 verification passes.
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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 is priced and positioned for enterprises with a security function — mid-market to large organizations running agents in production and answering to audits. It is not a low-cost entry point like a gateway add-on or a standalone guardrail filter, and it is not a general data security suite either. Judge it against what you would otherwise spend assembling discovery, red teaming, and inline enforcement separately.
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 security teams with an existing gateway layer: days to connect the gateway and CI discovery, with the first AI-BOM inventory appearing shortly after the integration is authorized. Teams with no gateway in the traffic path should budget longer, since enforcement depends on that layer being in place. The Claude Compliance API connection is the fastest piece — an admin generates a key and
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 spreadsheets of AI agents: replace with AI-BOM discovery and CI-based auto-discovery so the inventory updates on every change.
- →From gateway-native guardrails: add Lasso's inline enforcement on top of the same Kong, Portkey, LiteLLM, or Envoy layer for intent-based policy decisions.
- →From standalone red-team engagements: move to the automated 3,000+ attack library with purple-teaming that feeds findings back into policy.
- →From no Claude visibility: connect the Claude Compliance API to bring users, MCP servers, skills, and conversation-level inspection into the same console.
- ↗To a lightweight MCP broker: if you only need request brokering and basic injection filtering, a narrower tool may cover it at lower operational cost.
- ↗To gateway-native guardrails: if your policy needs are simple and confined to one gateway, that layer's built-in controls may be enough.
- ↗To a standalone red-team service: if you want periodic adversarial testing without owning continuous runtime enforcement.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Mcp Gateway”, and we withheld 6: 6 did not mention Mcp Gateway. We are showing none, because we could not prove any of them are about Mcp Gateway.
Official links
Tools that pair well with Mcp Gateway
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HackerOne
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Mindgard
Mindgard automates AI red teaming to find, validate, and fix exploitable AI agent vulnerabilities.
Featured Head-to-Head Comparisons
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.
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.
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