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  1. Overview
adlyse-workflows

adlyse-workflows

Endpoint: https://mcp.adlyse.com/mcp/workflows/

Build and run Adlyse’s operational workflows from outside the platform. This surface owns node-based workflow graphs, AI colleagues and handoffs, reusable skills, schedules, data tables, and institutional-memory files.

Use this server to integrate Adlyse workflows into an external orchestration: e.g. invoke generate_lead_report nightly from a scheduler, or enrich_contact from a CRM webhook.

To have Claude author workflows or colleagues against this server, install the exported workflow_builder or agent_builder skill — see Install the builder skills.

Tools#

ToolPurpose
list_workflowsEvery root workflow in your org
get_workflowDetail including input / output schema
run_workflowKick off an async run; returns a run_id
get_run_statusPoll status, output, and error
run_assistantRun an agent once, now, with a message (test a colleague)
get_assistant_runStatus, reply, tool calls and cards of one headless agent run
update_table / delete_tableRename or delete one of your data tables
update_table_column / delete_table_column / reorder_table_columnsEdit a table’s schema

The full list — workflow graphs, agents, handoffs, skills, memory, releases, schedules, and data tables — is in the sidebar. The same operational tools are included in the combined adlyse-all endpoint.

Common errors#

error_typeTypical cause
auth_errorMissing / invalid API key
not_foundWorkflow id / run id not in your org
invalid_inputInput failed the workflow’s trigger-schema validation
execution_errorRun couldn’t be scheduled (rare — usually transient)
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