mcpField
K
kanonik

kanonik

Remote
kanonik.aiLegal & Government0Updated 1w ago

About kanonik

Kanonik is a compliance governance runtime connected to Grok over MCP. It supports compliance teams with typed records, verification, tamper-evident activity logs, and human approval required for every write.

Key features

  1. 01Draft and revise compliance policies
  2. 02Assess controls and record evidence
  3. 03Identify framework gaps
  4. 04Create verifiable audit trails
  5. 05Require human approval for writes

Use cases

  1. 01Prepare policies against a loaded framework
  2. 02Document evidence for control assessments
  3. 03Produce a Statement of Applicability

MCP support

The plugin connects Grok to Kanonik's remote MCP server. It supports reading records and proposing changes; writes require a signed, single-use approval token and human approval.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://app.kanonik.ai/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

Kanonik

Governance runtime for compliance work, connected to Grok over MCP.

Kanonik gives your AI a typed compliance model to work in, a tamper-evident record of everything it does, a server-side Verifier that checks its work, and a human-approval gate in front of every write. Your AI does the reasoning. Kanonik makes the result defensible.

What you can do with it

Ask your AI to work on your compliance program in plain language:

  • Draft and revise policies and procedures against a loaded framework
  • Assess internal controls and record the evidence behind each judgement
  • Find the gaps between what a framework requires and what you actually have
  • Build an audit trail an assessor can verify independently
  • Produce a Statement of Applicability, or the equivalent artifact for your framework

The framework in scope comes from your workspace. Kanonik runs ISO 27001:2022, SOC 2, GDPR, NIST CSF 2.0 and HIPAA today. Nothing in the plugin is specific to any one of them.

Installing

/marketplace

Then pick Kanonik. Or from the CLI:

grok plugin install kanonik --trust

On first use your AI connects to https://app.kanonik.ai/mcp and a browser window opens for sign-in. You will need a Kanonik account; sign up at kanonik.ai.

What this plugin contains

One file that tells Grok where the Kanonik MCP server lives:

{
  "mcpServers": {
    "kanonik": { "type": "http", "url": "https://app.kanonik.ai/mcp" }
  }
}

That is the whole plugin. There is no bundled code, no install script, no hook, and no local process. Everything runs server-side at Kanonik.

Permissions and data

  • Network. One endpoint, https://app.kanonik.ai/mcp. Nothing else.
  • Authentication. OAuth 2.1 with Dynamic Client Registration and PKCE, against https://auth.kanonik.ai. Tokens are held by your Grok client. The plugin holds no credential and ships no secret.
  • Scopes. kanonik:read to read your compliance record, kanonik:propose to draft changes, kanonik:commit to submit them for approval.
  • Writes. No change reaches your record without a signed single-use approval token and a human clicking to approve it. Your AI cannot approve its own work.
  • Your other systems. Kanonik never holds credentials to your source systems. If your AI reads from GitHub, Jira, or your identity provider, it does so through its own connections, not through Kanonik.

Links

License

See LICENSE. The Kanonik service itself is proprietary; this repository contains only the connection manifest and documentation for it.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.