# io.github.lulzasaur9192/agent-infra-mcp

> Use this tool when you need to manage agent infrastructure and ensure secure communication, as it provides 18 tools for tasks such as agent memory management, API drift detection, and generating HMAC-signed trust receipts. It solves problems related to agent trust, data integrity, and API compatibility, and accepts inputs such as agent data and API requests, producing outputs like trust receipts and drift detection reports. Ideal for use cases where secure and reliable agent communication is crucial, such as in multi-agent systems or distributed architectures.

Canonical page: https://skillsregistry.net/skills/io-github-lulzasaur9192-agent-infra-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-lulzasaur9192-agent-infra-mcp

## Description

18 tools: agent memory, API drift detection, and HMAC-signed trust receipts

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.lulzasaur9192%2Fagent-infra-mcp)
- **Repository:** <https://github.com/lulzasaur9192/agent-infra-mcp>

## 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": "io-github-lulzasaur9192-agent-infra-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-lulzasaur9192-agent-infra-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-lulzasaur9192-agent-infra-mcp/pull`

---
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