What are the best MCP gateways for enterprise in 2026?
Blog post from Speakeasy
Model Context Protocol gateways enable AI agents to access tools while governing authentication, identity, authorization, auditing, distribution, and private-network connectivity. The comparison evaluates 11 products across enablement features such as session management, connectors, client distribution, and internal-network access, and governance features including directory-linked identity, client admission, granular tool permissions, shadow-server discovery, and SIEM-ready audit exports. It groups offerings into dedicated governance platforms such as Speakeasy, Runlayer, MintMCP, and Willow; API or model-routing extensions from Kong, TrueFoundry, LiteLLM, and Bifrost; and infrastructure-oriented options including AWS AgentCore Gateway, Microsoft MCP Gateway, and Docker MCP Gateway. The analysis argues that existing Kong or AWS users may start with their bundled tools for limited deployments, while Docker and Microsoft suit narrow proof-of-concepts, and dedicated governance products become more relevant when organizations need identity-based controls, endpoint visibility, shadow MCP detection, or broad audit coverage. Key trade-offs include whether principals resolve directly to enterprise directories or platform-specific accounts and keys, whether deployments can be self-hosted or air-gapped, and whether products govern only traffic passing through the gateway or can detect agent activity elsewhere. It recommends proof-of-concepts test offboarding, approved-client enforcement, least-privilege permissions, session expiration, unmanaged server detection, and departmental attribution before wider deployment.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| MCP | 141 | 2,241 | 148 | 72 | -74% |
| Kubernetes | 10 | 956 | 75 | 30 | -73% |
| LLM | 8 | 747 | 162 | 79 | -85% |
| Platform Engineering | 7 | 358 | 65 | 25 | -70% |
| Serverless | 7 | 156 | 54 | 28 | -80% |
| AI Guardrails | 3 | 35 | 22 | 12 | -94% |
| Observability | 3 | 472 | 102 | 54 | -85% |
| AI Agents | 1 | 931 | 231 | 103 | -84% |
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