# TrustGate

> TrustGate — neuraltrust-trustgate. Use this tool when you need to manage and optimize large language model (LLM) and agent traffic, routing requests across multiple providers while ensuring security and performance with features like guardrails and semantic caching. It solves problems related to scalability, reliability, and control in AI workflows, providing a flexible interface for inputs and outputs. Ideal for use cases requiring efficient, secure, and multi-provider AI traffic management.

Canonical page: https://skillsregistry.net/skills/neuraltrust-trustgate  
JSON: https://api.skillsregistry.net/v1/skills/neuraltrust-trustgate

## Description

Open-source AI gateway for LLM and agent traffic — multi-provider routing, guardrails, semantic caching and MCP support. Written in Go.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/NeuralTrust/TrustGate)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "neuraltrust-trustgate"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/neuraltrust-trustgate` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/neuraltrust-trustgate/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt