MCP
Connect AI assistants like Claude Desktop, Cursor and ChatGPT directly to your Cakewalk workspace using the Model Context Protocol (MCP).
What is MCP?
Model Context Protocol (MCP) is an open standard by Anthropic that lets AI assistants connect to external tools and data sources. Think of it as a universal plug that lets your AI assistant talk to other software.
Cakewalk runs an MCP server. When you connect your AI assistant to it, the assistant can query your users, apps and access requests directly from Cakewalk, using natural language.
What Can You Do With It?
Once connected, you can ask your AI assistant things like:
"Who has access to GitHub in our org?"
"Show me all pending access requests."
"What permission levels does Figma have?"
"Look up Jane's profile and current app access."
"Which apps does the marketing team use?"
Your assistant calls Cakewalk behind the scenes, gets the answer, and responds in plain language.
Who Is This For?
MCP is useful for anyone who already works inside an AI assistant and wants quick answers about access, without switching to the Cakewalk dashboard.
IT and Security teams running audits or reviewing access
Engineering leads checking who has access to dev tools
Managers looking up their team's app access during onboarding or reviews
How It Works (High Level)
You add Cakewalk's MCP server URL to your AI assistant's settings.
You authorize the connection through Cakewalk's OAuth consent screen.
You choose which scopes (permissions) the assistant gets: users, apps, requests.
Your assistant can now query Cakewalk directly.
No API keys. No code. Setup takes a few minutes.
Supported Clients
Cakewalk's MCP server works with any MCP-compatible client that supports OAuth, including:
Cursor (one click install)
Claude Desktop (CLI or manual)
See Connect an MCP Client for setup instructions per client.
Next Steps
Connect an MCP Client: Setup instructions for every supported client.
MCP Tool Reference: Full list of available tools, scopes and parameters.
Last updated
Was this helpful?