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Random freezes, missing sound and display glitches usually trace back to one bad driver. Find and replace yours safely.Free scan · under a minuteTuskira’s open-source AI Agent Gateway is designed to let an AI agent call MCP tools without receiving the tools’ upstream credentials. The gateway stores those credentials and injects them into outbound requests, while also offering profile-based tool scoping and logging. These are capabilities described by the project—not independent proof that the gateway is secure.
How the gateway keeps credentials out of an agent config
In a direct MCP setup, an agent may need access to the credential a tool server expects. Tuskira’s gateway changes that path: the agent connects to the gateway, which stores the outbound MCP credentials in an encrypted secret store and injects them into calls to the tool server. The intended result is that the agent configuration does not need to contain the tool server’s real credential.
The gateway is self-hosted and sits between agents, MCP tool servers, and supported LLM providers. Its repository describes it as a single binary, with Docker Compose and build-it-yourself deployment options. See the Tuskira AI Agent Gateway repository for the project’s current implementation and configuration details.
Credential separation is not the same as authorization
Keeping an upstream secret away from the agent reduces where that secret must be placed, but it does not by itself determine which tools a caller may use. Tuskira documents tool scoping through agent profiles and says a gateway API key must be bound to the intended profile for that binding to be enforced. Without a key-to-profile binding, the caller can name a profile in a request header. That configuration detail matters: do not assume profile restrictions are effective until the key and profile are bound as intended.
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The gateway also documents API keys scoped to tenants and roles. Administrators should evaluate how those identities, profile bindings, and tool permissions work together in their own deployment before relying on them as access controls.
What else the gateway handles
Tuskira describes a shared gateway surface for MCP tool traffic and LLM requests. Its documented model paths include Claude directly or through AWS Bedrock, OpenAI, and Gemini. The project also lists call logs, token-usage visibility, estimated cost, and an embedded administrative console.
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The documented listener ports are:
- 8080: MCP traffic
- 8081: control REST API and administrative UI
- 8082: LLM traffic
Logging and usage visibility can help operators inspect activity, but the repository’s feature descriptions do not establish how complete those records are or whether they meet a particular organization’s audit requirements.
Deployment requirements
PostgreSQL is required. Redis-protocol session storage and ClickHouse are optional. For the Docker Compose quickstart, the repository lists Docker with Compose, curl, jq, available local ports, and at least 4 GB free for Docker; it recommends 8 GB when adding the analytics profile. Building and running outside Docker has separate Go, Node.js, and make prerequisites. Check the repository’s installation instructions for the exact commands and current requirements.
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How to evaluate it safely
The repository labels the gateway pre-1.0 alpha and warns that APIs and configuration may change between minor versions. Treat it as software to test and evaluate, rather than an established security control validated by third parties. A practical review should cover the following:
- Confirm that upstream tool credentials are stored and injected by the gateway, not copied into agent configuration.
- Bind each API key to the intended profile, then verify that calls outside that profile are rejected.
- Check tenant and role scoping against the identities and tools you actually use.
- Review how MCP and LLM traffic are routed, and whether the logs and usage data support your operational needs.
- Assess the required database, optional services, exposed ports, and deployment environment.
- Pin and test the version you deploy; account for possible API and configuration changes while the project remains alpha.
Other projects document different gateway approaches, so feature claims should not be treated as a like-for-like comparison. For example, s-gw describes local, approval-based credential brokerage and identifies itself as early preview. The agentgateway backend authentication documentation distinguishes upstream authentication from authorization policy. Those distinctions are useful when choosing evaluation criteria, but the documentation alone does not establish which gateway is best for a particular deployment.
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- Standard Support covers software updates and round-the-clock emergency help. Add a Basic or Total Security Suite to activate IPS, gateway antivirus, and web filtering so threats are blocked before they reach users.
- Standard Support provides reliable technical assistance and software updates for WatchGuard Firebox appliances. Offering 24x7 help for emergencies and business-hours support for routine needs, it ensures your network stays secure and operational.
- Interfaces and deployment: 2.5Gb and 1Gb Ethernet with SFP or SFP+ fiber for clean aggregation and segmented backhaul at the edge.
- Performance and scale: UTM up to 710 Mbps with inspection on; flexible VPN topologies for hub and spoke or mesh designs.
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