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Documentation Index

Fetch the complete documentation index at: https://docs.orsay.ai/llms.txt

Use this file to discover all available pages before exploring further.

The Model Context Protocol (MCP) is an open standard that lets AI clients (Claude, Cursor, etc.) call external tools directly from a prompt. Orsay exposes its data — conversations, sequences, analytics, leads — through a secure, authenticated MCP server. The result: query your pipeline in plain English, trigger Orsay actions, and chain multiple tools together (Notion, Linear, Gmail…) — no code required.

Connect

1

Open Connect MCP in Orsay

Go to Integrations and click Connect MCP.You’ll find the MCP server URL to copy:
https://client.api.prod.orsay.ai/mcp
2

Paste the URL into your MCP client

Open your MCP client (Claude.ai, Claude Desktop, Cursor…) and add a new server with that URL. See the Compatible clients section below for step-by-step instructions.
3

Authorize Orsay

Your client will redirect you to Orsay to sign in and grant access. Authorization is scoped to your organization — no other account can read your data.

Compatible clients [#clients]

  1. Go to claude.ai/settings/connectors
  2. Click Add custom connector
  3. Paste the URL: https://client.api.prod.orsay.ai/mcp
  4. Give it a name (e.g. Orsay) and click Add
  5. Authorize the connection in the Orsay window that opens
Once connected, the Orsay icon appears in Claude’s toolbar and the tools are available in all your conversations.

Available tools [#tools]

13 tools are exposed. You don’t need to call them directly — Claude selects and chains them automatically based on your prompt.

💬 Conversations & leads

ToolWhat it does
list_conversationsList conversations with optional filters: classification (positive, negative, engaged…), channel (WhatsApp / Instagram), result count
get_conversationRetrieve the full thread of a conversation with all its messages
search_conversationsSearch across conversations by text content
get_lead_infoLead details: name, channel, creation date, profile picture

📊 Analytics

ToolWhat it does
get_analyticsMetrics over a date range: contacts reached, classification breakdown (positive, engaged, negative, undetermined), funnel (conversations started, qualified, links sent). Filterable by sequence or channel

⚡ Sequences

ToolWhat it does
list_sequencesList all sequences in the organization (name, trigger, channel, active status)
get_sequence_detailFull details of a sequence: flow steps, associated agent, working hours, advanced settings
create_sequenceCreate a new sequence: trigger, message flow, agent, response delay, working hours…
update_sequenceUpdate an existing sequence — only provided fields are changed
delete_sequencePermanently delete a sequence

🤖 Agents

ToolWhat it does
list_agentsList AI agents available in the organization
list_filtering_agentsList filtering agents (lead qualification before engagement)

🏢 Organization

ToolWhat it does
list_organizationsList all organizations your account belongs to — useful if you manage multiple workspaces

Prompt examples [#examples]

Ready-to-use prompts for Claude. Analyze your pipeline
“How many leads replied positively in my Instagram sequences this month? Compare with last month.”
Ad-hoc segmentation
“Find leads who mentioned ‘pricing’ in the last 30 days but haven’t received my pricing sequence yet.”
Natural-language reporting
“Compare the positive classification rates of my 3 active sequences over the past 14 days and tell me which one performs best.”
Summarize a conversation
“Summarize the conversation with lead [leadId] and write a personalized follow-up based on their last replies.”
Create a sequence
“Create an Instagram inbound sequence for the account @myaccount using the ‘Sales Agent’ agent, a 2-minute response delay, and a welcome message ‘Hi there, how can I help you?’. Leave it inactive for now.”
Update a sequence
“Activate the ‘Spring 2026 Campaign’ sequence and change its response delay to 5 minutes.”
Cross-tool workflow (combining other MCP servers)
“Read this week’s positive Orsay conversations, create a Linear ticket for each one with the lead context, then generate a summary in Notion.”

Technical reference [#reference]

ValueDescription
CONTACT_CREATEDNew contact created in the organization
CONTACT_SUBSCRIBED_TO_SEQUENCEContact manually added to a sequence
WHATSAPP_MESSAGEIncoming WhatsApp message (inbound)
INSTAGRAM_COMMENTComment on an Instagram post
INSTAGRAM_MESSAGEIncoming Instagram direct message
INSTAGRAM_STORY_REPLYReply to an Instagram story
INSTAGRAM_LEAD_FINDER_NEW_FOLLOWERNew follower of an Instagram account
INSTAGRAM_LEAD_FINDER_OTHER_ACCOUNT_FOLLOWERSFollowers of another account (Lead Finder)
INSTAGRAM_LEAD_FINDER_NEW_LIKENew like on a post (Lead Finder)
INSTAGRAM_LEAD_FINDER_OTHER_ACCOUNT_COMMENTComments on another account (Lead Finder)
seconds · minutes · hours · days
ValueMeaning
positiveQualified lead, interested
engagedLead replied but not yet fully qualified
negativeUnqualified or uninterested lead
undeterminedNo reply yet

Important notes [#notes]

The create_sequence, update_sequence, and delete_sequence tools modify your Orsay account in real time. Always review Claude’s proposed actions before confirming.
If you manage multiple organizations, Claude will automatically call list_organizations to ask which one to use. Mention the organization name in your prompt to skip that step.
  • Access is authenticated via OAuth 2.0 — only your organization’s data is accessible.
  • The MCP server is stateless: each request is independent, with no persistent server-side session.
  • Compatible with any client supporting the MCP protocol over Streamable HTTP.