# ai.getvda/encrypted-oauth-llm-agent

> ai.getvda/encrypted-oauth-llm-agent — ai-getvda-encrypted-oauth-llm-agent. Use this tool when you need to securely authenticate and authorize access to large language models (LLMs) using encrypted OAuth protocols. It solves problems related to protecting sensitive user data and ensuring secure communication between LLM agents and clients. The agent takes in authentication requests and credentials as inputs and outputs encrypted access tokens for secure LLM interactions.

Canonical page: https://skillsregistry.net/skills/ai-getvda-encrypted-oauth-llm-agent  
JSON: https://api.skillsregistry.net/v1/skills/ai-getvda-encrypted-oauth-llm-agent

## Description

Encrypted OAuth LLM Agent

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-03

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.getvda%2Fencrypted-oauth-llm-agent)

## Use it

MCP endpoint published by the skill: `https://authenticated-llm-agent-cryptography.getvda.ai/mcp`

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": "ai-getvda-encrypted-oauth-llm-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-getvda-encrypted-oauth-llm-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-getvda-encrypted-oauth-llm-agent/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
