Model Context Protocol (MCP)
Query Salfio from Claude, Cursor, and other MCP-aware clients using the same tools your team already uses.
Salfio speaks the Model Context Protocol. If your AI assistant is MCP-aware — Claude Desktop, Claude.ai web, Cursor, the MCP Inspector — it can connect to mcp.salfio.com and use the same client/activity/dashboard data your team sees in the app.
Walkthrough
Section titled “Walkthrough”What you can do
Section titled “What you can do”Once connected, an MCP client sees a set of tools mapped 1:1 to the Salfio Public API:
- List and retrieve clients — retrieving a single client also returns its AI churn-risk assessment (
churnRiskLevel:high|medium|low, pluschurnSignals, short evidence sentences grounded in captured conversations) and its AI upsell-opportunity assessment (upsellSignalsLevel:high|medium|low, plusupsellSignalsandupsellServices— the services from your catalog the signals point to, each withserviceIdandtitle; ahighlevel always comes with at least one matched service), once enough conversation data has been analyzed - Create, update, delete clients
- Read a client's recent activities (emails + calls), or scope the search to a date range to look further back
- Write a note onto a client (recorded as a note activity, attributed to a user)
- Read the AI-generated cards (briefing, wins/traction, risks/frictions, topics) for a client
- List the organization's integrations, and list the channels a Slack integration's bot is in — the discovery step for setting up assignment rules
- Read and replace a client's assignment rules — bind a Slack channel (or another integration) to a client so its communications are assigned automatically
- Read and maintain the organization's services catalog — the services you sell, described so the assistant can spot upsell opportunities
- Read the organization summary and users
Every tool is scoped to your organization. Cross-tenant reads return "not found" — the same no-leak rule the REST API enforces.
Two ways to connect
Section titled “Two ways to connect”| Client | How it authenticates |
|---|---|
| Claude.ai web, MCP connectors | OAuth 2.1 — browser flow, no key copy-paste |
| Claude Desktop, Cursor, Inspector | Bearer sk_live_… token from the dashboard |
Pick based on what your client supports:
- Connect from Claude.ai web — OAuth, the recommended path for the web client.
- Connect from Claude Desktop (and other API-key clients) — paste a Salfio API key into the client config.
Rate limits and quotas
Section titled “Rate limits and quotas”MCP shares the same rate-limit buckets as the REST API: 100 requests per minute at the organization level, 50 per minute per tool. A single team can't double its quota by splitting work across REST and MCP — the buckets are deliberately unified.
See Rate Limits for the full policy.
What about data written by AI?
Section titled “What about data written by AI?”MCP tools that write (create_client, update_client, delete_client, create_note, set_assignment_rules, create_service, update_service, delete_service) make the same changes the API would. Every mutation is subject to the usual authorization and audit trail. An org_oauth connection carries organization scope — suitable for a shared team assistant, as its scope isn't tied to any one user's role — but it carries no user identity at all. A tool that must attribute its write to a person therefore either asks you which one (create_note's author_user_id) or is unavailable on that connection (create_task_routine, since a routine runs as its creator). See the Claude.ai web guide for how to pick between user-scoped and org-scoped grants.