Documentation Index
Fetch the complete documentation index at: https://help.loopiq.com/llms.txt
Use this file to discover all available pages before exploring further.
Use LoopIQ MCP Tools
What this does
This article explains how LoopIQ MCP tools can be used with compatible AI clients to access governed LoopIQ context and actions. MCP stands for Model Context Protocol. It allows AI clients to discover and call tools exposed by LoopIQ, such as reading records, creating records, searching data, or retrieving operational context.Important safety model
MCP access should follow the same principles as the main LoopIQ application:- organization context must be respected
- user identity should determine allowed access
- tools should not leak data across organizations
- actions should be auditable
- high-impact actions should be reviewed or permission-gated
MCP URL
Your administrator will provide the correct MCP server URL and authentication method. For LoopIQ production:https://ai.loopiq.comis the LoopIQ AI domain.https://ai.loopiq.com/mcpis the MCP endpoint when your AI client requires the MCP server path.
Dynamic organization context
LoopIQ MCP should operate in dynamic tenant mode. The organization should be determined from the authenticated user and selected organization, not from a fixed tenant setting. If a user belongs to more than one organization, be explicit about the intended organization before listing, creating, or updating records.Before you begin
Make sure:- your organization has MCP enabled
- you have a valid access token or supported authentication method
- your AI client supports MCP
- your role has permission to access the data or actions you plan to use
- the organization context is clear if you belong to more than one organization
How to use MCP tools safely
- Connect your compatible AI client to the LoopIQ MCP server.
- Authenticate with the identity or token provided by your organization.
- List available tools.
- Start with read-only tools such as search, list, or retrieve actions.
- Confirm that returned data belongs to the expected organization.
- Use create or update tools only when you understand the effect.
- Review generated changes in LoopIQ.
- Disconnect or rotate credentials if access is no longer needed.
Good use cases
MCP tools are useful for:- searching LoopIQ records from an AI workspace
- summarizing related work items
- preparing release readiness context
- finding compliance evidence
- reviewing service request or incident context
- drafting follow-up actions from existing records
- connecting AI assistance to governed LoopIQ workflows
Avoid these patterns
Do not use MCP tools to:- bypass LoopIQ permissions
- expose customer or organization data to unauthorized AI clients
- create production-affecting changes without review
- use stale or shared bearer tokens
- mix data from multiple organizations in one prompt unless explicitly authorized