MCP Integration - Connect Claude, ChatGPT & Cursor to Resonate
MCP integration

Drive Resonate from
the AI you already use.

Connect Resonate to Claude, ChatGPT, Cursor and other MCP-compatible clients to draft, critique, schedule and analyze LinkedIn content directly from your AI workspace - no other LinkedIn content tool offers this in 2026.

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Included from StarterNo separate MCP feeFirst LinkedIn platform with MCP
ClaudeChatGPTCursorn8n
MCPResonate MCP Server
Voice modelIdeasAI critiqueLinkedIn contentSchedulingAnalyticsOutreach
Definition

What is Resonate MCP?

Resonate MCP is an integration that lets compatible AI clients such as Claude, ChatGPT and Cursor interact with Resonate through the Model Context Protocol. Instead of opening Resonate separately, you can use your AI client to trigger supported Resonate actions - drafting LinkedIn posts, retrieving analytics, applying voice context, and scheduling content.

The protocol

What is Model Context Protocol for LinkedIn content?

Model Context Protocol (MCP) is an open protocol - originally released by Anthropic - that standardizes how AI applications connect to external tools and data sources. It lets an AI client discover and invoke capabilities exposed by an MCP server instead of requiring a separate custom integration for every service. Resonate uses MCP to expose its LinkedIn content capabilities to compatible AI clients.

The MCP specification continues to evolve - recent updates have introduced protocol and authorization changes. Resonate's implementation is kept current with the protocol's supported direction.

Capabilities

What can Resonate MCP do?

Resonate MCP allows compatible AI clients to interact with supported Resonate capabilities, including content ideation, LinkedIn draft generation, post scoring, scheduling and analytics. Exact capabilities depend on the tools exposed by Resonate and the client's own MCP support.

ToolWhat it does
list_ideasRetrieve content ideas surfaced from your connected work sources
generate_draftGenerate a LinkedIn post draft using your voice model
score_postRun a draft through Hook, Voice and Virality critique
get_voice_profileRetrieve relevant voice context for a draft
schedule_postSchedule an approved post for publishing
get_content_analyticsRetrieve content performance data
get_outreach_analyticsRetrieve outreach performance data
create_outreach_automationConfigure an outreach workflow within account limits
Supported clients

Use Resonate MCP with your AI client.

Claude

Draft and review LinkedIn posts directly from Claude Desktop.

"Draft a post about the Acme deal"

ChatGPT

Access Resonate functionality through the OpenAI-hosted MCP client.

"Score my latest draft"

Cursor

Use Resonate capabilities from your development environment.

"List my content ideas"

n8n

Build automated workflows that call Resonate as a step.

"Schedule approved posts"

Zapier is supported via their MCP beta. Any MCP-compatible client can connect when it supports the relevant transport, authorization flow, and the capabilities Resonate exposes - compatibility depends on that client's own MCP implementation.

Setup

Set up Resonate MCP in under a minute.

1

Choose your AI client

Claude Desktop, ChatGPT, Cursor, or n8n.

2

Add the Resonate MCP server

Add Resonate's MCP endpoint to your client's MCP configuration from Settings.

3

Authenticate

Complete the OAuth flow to create a scoped, revocable token for your workspace.

4

Approve permissions

Review and approve the specific Resonate actions your client will be able to call.

5

Start using natural-language commands

Try: "List my latest LinkedIn content ideas."

From prompt to published post

What a Resonate MCP call actually looks like.

You (Claude)
"Draft a LinkedIn post about the deal we closed with Acme last week."
AI client
Calls generate_draft
Resonate
Retrieves get_voice_profile and relevant deal context from your connected work sources
Returns
A scored draft - Voice 94/100, Hook 88/100 - ready to publish or schedule inline
Resonate's MCP interface - an AI agent calling Resonate tools like list_ideas, get_outreach_analytics and generate_draft to build a post end to end
Why it matters

Without MCP vs with Resonate MCP.

Without MCP
Claude →Copy information →Open Resonate →Paste information →Generate →Copy back →Return to Claude
With Resonate MCP
Claude →Resonate MCP →Draft / score / schedule / analytics →Claude
Technical comparison

Resonate MCP vs REST API.

REST APIMCP
Primary consumerDevelopers / appsAI clients / agents
InterfaceAPI endpointsAI-discoverable tools
ContextDeveloper-definedAI workflow context
AuthenticationAPI authMCP-compatible auth
Natural-language interactionNot inherentYes, via client
Tool discoveryAPI docsMCP tool discovery

MCP doesn't replace Resonate's API - it lets AI clients use Resonate capabilities as tools rather than requiring every workflow to implement a custom integration.

Technical comparison

MCP vs Zapier.

Zapier

Workflow automation that connects triggers and actions between applications.

MCP

A standardized interface through which compatible AI clients can discover and access tools and context directly.

Resonate supports both - MCP for AI-client-driven workflows, and a Zapier beta for broader automation chains.

For AI agents

Turn Resonate into a LinkedIn content tool for AI agents.

MCP lets compatible AI clients and agentic systems invoke Resonate capabilities as tools. Instead of manually operating the Resonate UI, an agent can request a supported action - retrieving ideas, generating a draft, or reading analytics.

Content agent

"Find three post-worthy ideas from my recent work."

Writing agent

"Turn this customer lesson into a post in my voice."

Analytics agent

"Which posts drove the most profile views last month?"

Critique agent

"Review my draft and suggest improvements."

Scheduling agent

"Schedule the approved post for Thursday morning."

Voice agent

"Rewrite this in my usual voice."

For agencies

MCP for LinkedIn agencies.

Per-workspace token scoping means each client's Resonate workspace stays isolated, while your AI tools work with the correct client context every time.

Client A

Voice / Analytics / Content A

Client B

Voice / Analytics / Content B

Client C

Voice / Analytics / Content C

Trust

Is Resonate MCP secure?

OAuth-based authentication with scoped, revocable tokens
Per-workspace token isolation - including per-client for agencies
Explicit permission approval before a client can call any tool
Tokens can be revoked at any time from your Resonate settings
Same account-level security model used across every Resonate integration.
Mental model

You don't have to replace the Resonate app.

MCP doesn't mean never using Resonate's UI. Use the Resonate app when you want a visual workflow - reviewing drafts, browsing analytics dashboards, adjusting settings. Use MCP when you want your AI client to operate Resonate directly, without switching windows.

Common questions

What is Resonate MCP?

An integration that lets AI clients such as Claude, ChatGPT and Cursor interact with your Resonate workspace through the Model Context Protocol - drafting, critiquing, scheduling and analyzing LinkedIn content without opening the app.

What is MCP and do I need to be technical to use it?

Model Context Protocol is an open standard - originally from Anthropic - that lets AI tools talk to services like Resonate. Setup is a one-time config paste. If you can use Claude Desktop or Cursor, you can use Resonate's MCP.

How do I connect Resonate to Claude?

Add Resonate's MCP endpoint to Claude Desktop's MCP configuration, complete the OAuth flow, and approve the requested permissions. See the setup steps above.

Which AI tools support Resonate's MCP?

Claude Desktop, Cursor and n8n officially, ChatGPT via the OpenAI-hosted MCP client, and Zapier via their MCP beta. Any other MCP-compatible client can connect if its implementation supports the required transport and authorization flow.

What permissions does Resonate MCP require?

Only the specific actions you approve during the OAuth flow - for example draft generation or analytics retrieval. Tokens are scoped per workspace and revocable at any time.

Is Resonate MCP secure?

Yes - connections use OAuth-based authentication with scoped, revocable tokens and per-workspace isolation. See the security section above for details.

What's the difference between MCP and an API?

A REST API is built for developers to integrate against directly. MCP standardizes how AI clients discover and invoke tools, so an AI agent can use Resonate capabilities through natural language instead of custom API code.

Can I use Resonate MCP with my agency workspace?

Yes. Per-workspace token scoping means you can run one isolated MCP configuration per client, so your AI tools always work with the correct client's voice, content and analytics.

Is MCP available on every plan?

MCP is included from the Starter plan upward - there's no separate MCP add-on or tier gate.

Does Resonate MCP work with n8n or Zapier?

Yes - n8n is officially supported, and Zapier is supported through their current MCP beta.

At a glance

Resonate MCP - at a glance.

AttributeResonate
ProtocolModel Context Protocol
Integration typeMCP server / integration
Primary purposeLet AI clients interact with Resonate
AI clientsClaude, ChatGPT, Cursor, n8n, other MCP-compatible clients
LinkedIn content
Draft generation
Post critique
Scheduling
Analytics
Outreach capabilitiesSupported tools
AuthenticationOAuth, scoped tokens
Workspace isolation
Agency support
PricingIncluded from Starter
Separate MCP feeNo

Connect Resonate to your AI.

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