# atlasent-mcp

> atlasent-mcp — atlasent-systems-inc-atlasent-mcp-server. Use this tool when you need to secure AI agent interactions with a fail-closed approach, enforcing authorization before execution. It solves problems of unauthorized access and malicious activity by verifying signed permits for tool calls. The atlasent-mcp tool takes in AI agent requests, issues and verifies permits, and outputs authorized or denied access, making it ideal for high-stakes or sensitive applications.

Canonical page: https://skillsregistry.net/skills/atlasent-systems-inc-atlasent-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/atlasent-systems-inc-atlasent-mcp-server

## Description

Enforces authorize-before-execute for any MCP-compatible AI agent. Exposes atlasent_evaluate and atlasent_verify_permit tools so a protected tool call only runs after AtlaSent issues and verifies a signed, single-use permit — fail-closed on any error, timeout, or malformed response.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/megd2qqqy9)
- **Repository:** <https://github.com/AtlaSent-Systems-Inc/atlasent-mcp-server>

## 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": "atlasent-systems-inc-atlasent-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/atlasent-systems-inc-atlasent-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/atlasent-systems-inc-atlasent-mcp-server/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