Markup AI
Markup AI provides content agents, brand terminology, personas, brand voice profiles, and style configuration for evaluating and improving content.
Integration
- Vendor
- Markup AI
- Category
- other
- Auth
- API_KEY
- Tools
- 10
- Composio slug
markup_ai
Tools
- Get Agent
Get one agent's metadata and complete runtime input and output JSON Schemas before executing it.
- Get Analysis Profile
Get one persona, brand voice profile, style target, or style guide by ID, including detailed configuration needed to understand its effect on analysis. Style details can contain a large hierarchy of goals, groups, and guidelines.
- Get Workflow
Get the current status and result of an asynchronous agent workflow by ID.
- List Agent Categories
Return all agent categories available to the connected organization for discovery and agent-list filtering.
- List Agents
Discover Markup AI agents available to the connected organization, optionally filtered by category. Returns compact summaries for choosing an agent; use GET_AGENT for its full runtime schemas.
- List Analysis Profiles
List selectable persona, brand voice, style guide, style target, or content profile resources used to configure agent runs.
- List Terminology Resources
List terminology term sets or domains with filters and cursor-controlled pagination.
- List Workflows
List one cursor-controlled page of agent execution workflows, optionally filtering that page by status, stable agent name, or creation time.
- Run Agent
Run one selected Markup AI agent against document text, synchronously or asynchronously. Discover the agent and inspect its schema first; execution may consume organization quota. The persona agent requires persona_id at runtime even when i
- Search Terminology
Find organization terminology rules relevant to supplied text, optionally limited to selected domains.
Setup
- Create or open a Switchy Project.
- Open Integrations and connect Markup AI.
- Authorise through api_key. Switchy stores the connection against your org.
- Everyone in the Project can now @-mention the Markup AI tools in chat.
What teammates see: by default, memories from Markup AI are scoped to the Project (PROJECT visibility) - you can mark any memory PRIVATE or share it ORG-wide.
Works well with
Top models
Compatibility data appears once enough Projects have used this MCP together with a given model.