Open source MCP gateways solve one side of the MCP problem: routing, access control, and multi-server policy. Pipelock solves the other side: content inspection on what actually flows through the connection. That is why this is not really Pipelock versus gateways. It is Pipelock next to gateways.
The short version
Use an open source MCP gateway when you need to front many MCP servers with one auth and routing layer.
Use Pipelock when you need to inspect tool descriptions, arguments, and responses for credential leaks, prompt injection, and tool poisoning.
Use both when you need real MCP security in production. A routing gateway without content inspection still forwards poisoned tool descriptions. A scanning proxy without routing still leaves multi-server auth and access policy to you.
For the broader category definition, see MCP Gateway and MCP Proxy.
Open source MCP gateway comparison
| Product | Primary job | Content inspection | Auth / RBAC | Best fit |
|---|---|---|---|---|
| Docker MCP Gateway | Containerized MCP gateway and catalog | Partial (--block-secrets) | OAuth + gateway policy | Teams already standardizing on Docker for MCP |
| agentgateway | Routing, policy, and infra-grade control plane | Not documented in public docs | Yes | Teams that want Envoy-style routing, JWT/OAuth, and telemetry |
| Lasso open source gateway | Security-first MCP gateway | Yes | Simpler than infra-grade gateways | Teams focused on prompt injection and tool-description scanning |
| Obot | Agent platform with MCP gateway features | Not documented in public docs | Partial | Teams that want routing, auth, and a broader internal agent platform |
| Pipelock | Scanning MCP proxy and agent firewall | Yes | Via config, not multi-server gateway RBAC | Teams that need content inspection on MCP, HTTP, and WebSocket traffic |
This is why the category gets confusing. Four of these are open source MCP gateways in the routing sense. Pipelock is the open-source MCP security layer that complements them.
Where open source MCP gateways are stronger
Multi-server routing. Gateways front many MCP servers behind one address and one policy surface. They decide which backend serves which tool call.
Authentication and access control. The strongest gateways centralize JWT, OAuth, API keys, or mTLS, then apply tool-level RBAC and quota policy.
Catalog and platform workflows. Docker MCP Gateway and Obot both help teams manage a fleet of MCP servers as a platform problem, not just a single connection problem.
Shared control plane. A gateway lets a central team roll out auth, policy, rate limits, and observability across many agents and many MCP servers at once.
If your main problem is “how do I manage many MCP servers safely,” start with a gateway.
Where Pipelock is stronger
Tool description scanning. Pipelock reads the actual tool descriptions, parameter descriptions, and schema content the agent sees. That is where tool poisoning lives.
Argument DLP. Pipelock inspects the tool arguments the agent sends for credentials, API keys, and other sensitive data before the server receives them.
Response inspection. Pipelock scans the response payloads before they re-enter the agent’s context, which is where prompt injection through tool output happens.
HTTP and WebSocket coverage. Gateways usually only cover MCP. Pipelock also scans HTTP and WebSocket egress, so one control covers the MCP layer and the broader agent egress layer.
Tamper-evident evidence. Pipelock’s flight recorder and optional signed action receipts make the inspection decision itself auditable.
If your main problem is “how do I stop poisoned tools, credential leaks, and injection in live traffic,” start with Pipelock.
MCP gateway vs MCP proxy
The shortest comparison is this:
| MCP Gateway | MCP Proxy | |
|---|---|---|
| Primary job | Routing, auth, access control | Content inspection |
| Scale model | One gateway in front of many servers | Usually one wrapper per server |
| What it reads | Tool/server identity and policy metadata | JSON-RPC payload contents |
| Main failure it stops | Unauthorized or misrouted tool access | Poisoned descriptions, leaked credentials, injected responses |
| Best example layer | Docker MCP Gateway, agentgateway | Pipelock MCP proxy |
See the dedicated MCP Gateway and MCP Proxy guides for the deeper category breakdown.
Recommended deployment patterns
One MCP server, highest security concern. Start with Pipelock. The risk is usually in what the server returns, not in fleet routing.
Many MCP servers, shared identity and policy. Start with a gateway. You need centralized auth and multi-server routing first.
Production deployment with sensitive data. Run both. Put the gateway in front for routing and access control. Put Pipelock on the traffic path for content inspection.
Developer laptops using Docker Desktop. Docker MCP Gateway is often the fastest way to centralize local MCP servers. Add Pipelock when you need inspection instead of just isolation and management.
When to use both
The clean pattern is:
Agent -> MCP Gateway -> Pipelock MCP Proxy -> MCP Server
The gateway answers:
- Which agent is this?
- Which server and tool can it reach?
- What rate limits and quotas apply?
Pipelock answers:
- Is this tool description safe to show the model?
- Are the tool arguments leaking credentials?
- Is the response trying to inject instructions back into the agent?
That split is why “gateway versus proxy” is usually the wrong buying question. The stronger question is which layer you are missing today.
Related comparisons
- Pipelock vs Docker MCP Gateway — the closest open-source gateway comparison in the category
- MCP Gateway — broader market view, including commercial gateways
- MCP Proxy — how scanning proxies work at runtime
- MCP Security Tools — scanners, proxies, and gateways in one taxonomy
- Pipelock — product overview and deployment modes