Documentation Index
Fetch the complete documentation index at: https://developers.klarity.ai/llms.txt
Use this file to discover all available pages before exploring further.
You need an active Klarity workspace and a user account. If you’re not sure whether your organization has one, contact hello@klarity.ai.
Pick your client
Klarity MCP works with any MCP-compatible client. Use the install page that matches yours.





Claude COMING SOON
Anthropic assistant
Claude Code
Anthropic CLI
ChatGPT
OpenAI assistant
Codex
OpenAI CLI
Cursor
IDE
Gemini CLI
Google CLI
Authenticate
Two methods are supported:
- OAuth — preferred where the client supports it. Sign in to Klarity from the client; no key handling.
- API key — used in alpha clients and as a fallback. Generate a key from
Settings → MCPin your Klarity workspace and pass it as aBearertoken.
Ask your first question
Start with something concrete from your workspace. The MCP is most useful when the question references your processes, systems, or teams.Examples:
- “How does our vendor onboarding process work today?”
- “What changed in our month-end close in the last 30 days?”
- “Which processes depend on System X?”
- “Find the highest-leverage automation opportunities in our P2P value stream.”
What to expect
The first time the assistant calls a Klarity tool, it will prompt you to authenticate (OAuth) or read your configured API key. After that, the assistant chains MCP tools in the background — searching the Process Index, fetching specific processes, walking the Context Graph, pulling observations — and answers in business language, citing the workspace evidence behind each claim. If the assistant cannot find evidence for a claim in your workspace, it should say so plainly. That gap is itself useful information.Next steps
Read the concepts
The Discover → Structure → Improve loop, and the three intelligence layers.
Browse the tools
Every tool the MCP exposes, with selection guidance.

