# chancery

> chancery — chanceryhq-chancery. Use this tool when you need to manage AI agent identities and permissions, solving problems of secure access control and auditing. It provides a registry, scoped delegation, and instant revocation, with inputs of agent credentials and outputs of access tokens and audit logs. Use chancery in contexts where secure and transparent AI agent management is crucial, such as in multi-agent systems or sensitive data environments.

Canonical page: https://skillsregistry.net/skills/chanceryhq-chancery  
JSON: https://api.skillsregistry.net/v1/skills/chanceryhq-chancery

## Description

The identity provider for AI agents — registry, scoped delegation, in-path MCP enforcement, instant revocation, tamper-evident audit.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## 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/chanceryhq/chancery)

## 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": "chanceryhq-chancery"
    }
  }
}
```

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