Outflo MCP connects your LinkedIn outreach directly to Claude, Cursor, or any other LLM that supports Model Context Protocol — letting you manage campaigns, leads, conversations, and analytics through plain-language prompts instead of clicking through a dashboard. Describe what you want, and Outflo MCP does it inside your actual workspace. Here's what's live right now.
Campaign Management, Start to Finish
You can create, configure, sequence, and launch a campaign without leaving your LLM.
→ Create campaign — spin up a new campaign → Get campaign sequence — pull a campaign's full workflow tree to inspect or reuse → Update campaign sequence — rebuild the sequence logic (campaign must be paused first) → Launch campaign — take a draft live → Pause campaign / Resume campaign — control what's actively sending → List Outflo campaigns — see everything running across your workspace
You can now say: "Pull the sequence from my highest-performing campaign, pause it, swap in this new lead list, and relaunch it."
Lead & List Management
→ Create lead list / List lead lists — build and browse lead lists → Add leads to list / Add lead to campaign — populate a list or push leads straight into an active campaign → Get campaign leads — see everyone currently in a campaign → Get campaign lead timeline — pull the full action-and-message history for a specific lead → Pause campaign leads / Resume campaign leads / Exclude campaign leads — manage individual leads without touching the whole campaign
You can now say: "Show me everyone in this campaign who hasn't replied in two weeks, and pause outreach to them."
Smart Inbox, Managed by Prompt
→ List LinkedIn inbox conversations — filter conversations by account, campaign, or tag across your entire Unibox → Get conversation messages — read the full thread for any conversation → Reply to conversation — send a reply directly from your LLM → Apply conversation tags — tag or create tags on a conversation after reading it
You can now say: "Read every unread conversation from this week, tag the ones that sound genuinely interested, and draft a reply to each."
Analytics Without Opening a Dashboard
→ Get analytics overview / Get analytics campaigns / Get analytics senders / Get analytics timeseries — workspace-wide performance, sliced by campaign, sender, or time → Get campaign analytics overview / Get campaign funnel analytics / Get campaign sequence analytics / Get campaign tag analytics — drill into one campaign's funnel, sequence-step performance, or tag distribution
You can now say: "Compare acceptance rate across all my active campaigns this month and tell me which sender account is underperforming."
Account Connection, Including the Fiddly Part
→ Connect account — link a new LinkedIn account to your workspace → Get account status — check whether a connected account is healthy → Resend checkpoint / Solve checkpoint — handle LinkedIn's OTP/verification checkpoint flow without switching to a browser
That last pair matters more than it looks. LinkedIn occasionally throws a login checkpoint at connected accounts — the kind of interruption that normally means stopping what you're doing to go verify a code manually. Outflo MCP surfaces that flow as a tool call instead, so an agent (or you, mid-prompt) can resend and solve the checkpoint without breaking out of the conversation you're already in.
Why This Matters More for Multi-Account Teams Than for a Solo Rep
The real value of MCP isn't any single tool call — it's that an agency running outreach across a dozen client accounts can ask one question that would otherwise mean opening a dozen separate dashboards: "Which of my client accounts have a conversation waiting more than 24 hours, across all of them?" That's a single prompt against List LinkedIn inbox conversations filtered by unseen status, rather than logging into each account one at a time — which is exactly the reply-visibility gap that causes agencies to lose warm leads sitting unanswered in an account nobody happened to check that day.
Getting Started
If you're already on Outflo, connecting the MCP server takes a few minutes: grab your workspace's MCP connection URL from your account settings, add it to Claude, Cursor, or whichever MCP-compatible client you're running, and the tools above are live immediately — no separate install, no additional cost on top of your existing plan.
One tool worth calling first in any new session: Get Outflo context pulls your workspace's current state — active campaigns, connected accounts, available lead lists — so your LLM has real context before you start issuing commands, rather than guessing at IDs or asking you to look them up manually.
Frequently Asked Questions
What is Outflo MCP? Outflo MCP is an implementation of Model Context Protocol that lets AI tools like Claude or Cursor directly read and act on your Outflo workspace — campaigns, leads, conversations, and analytics — through natural-language prompts instead of the dashboard UI.
Do I need a separate subscription for Outflo MCP? No — MCP access is part of your existing Outflo workspace. You do need an active Outflo plan with connected LinkedIn accounts to have any campaigns or conversations for the MCP tools to act on.
Can Outflo MCP send messages without my approval? The reply and campaign-launch tools can execute directly when called, so it's worth setting your own guardrails on which actions you let an agent take autonomously versus which ones you review first — the same judgment call that applies to any MCP-connected tool with write access.
Which AI tools work with Outflo MCP? Any client that supports Model Context Protocol — Claude and Cursor are the most common, and the same connection URL works with other MCP-compatible tools as the ecosystem grows.
Want to run your next campaign from a prompt instead of a dashboard? Start your free Outflo trial — no credit card required.
