mcpField
A
aiwaiverdesk-mcp

aiwaiverdesk-mcp

Remote
github.com/clauxelLegal & Government0Updated 23w ago
Repository

About aiwaiverdesk-mcp

aiwaiverdesk-mcp is a hosted remote MCP service for AI governance, risk, compliance, product, and platform teams. It reviews AI waiver and policy-exception requests with expiry conditions, approvals, and governance receipts.

Key features

  1. 01Evaluate AI waiver requests
  2. 02Request policy exceptions
  3. 03Check waiver expiry
  4. 04Issue governance receipts
  5. 05Export governance audits

Use cases

  1. 01Review an AI use case for a waiver
  2. 02Track an exception's expiry and owner
  3. 03Record reviewer approval
  4. 04Export governance audit evidence

MCP support

It exposes five tools to MCP clients through a remote endpoint: waiver evaluation, exception requests, expiry checks, receipts, and audit export.

Configuration

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

Endpointhttps://aiwaiverdesk.clauxel.com/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.

All endpoints
Streamable HTTPhttps://aiwaiverdesk.clauxel.com/mcpAuth required

Tools

Details

From the project README

AI Governance Waiver Desk MCP

Approve AI exceptions with expiry dates, owners, and receipts.

AI Governance Waiver Desk is a paid remote MCP approval gate for AI use cases, model risk, exception reasons, owners, approvers, expiry dates, and governance receipts.

This is a public documentation project for AI Governance Waiver Desk MCP. The structure is modeled after the public documentation pattern used by MiroFish: a short front door, a clear reading order, practical guides, reference pages, and public-safe architecture notes.

Start Here

Remote MCP

Reading Order

  1. Quickstart
  2. Evaluation guide
  3. Checkout and pricing
  4. Workflow notes
  5. Public link reference

Audience

AI governance, risk, compliance, product, and platform teams.

Capabilities

  • waiver policy queue
  • risk level review
  • expiry conditions
  • reviewer signoff
  • allow/review/deny JSON

Public-Safe Boundary

This repository does not contain production source code, credentials, payment configuration, Cloudflare configuration, customer records, private analytics, or local machine paths.

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.