Research
Find patterns in posts that perform
Ask Claude to search Postiv's inspiration library, group winning hooks and formats, and turn the patterns into original ideas.
LinkedIn MCP Server for Claude and AI Agents
A LinkedIn MCP server is a secure connector that gives Claude and other AI agents a defined set of LinkedIn capabilities. Postiv lets your agent research, create, design, schedule, and analyze content without controlling linkedin.com through a browser.
Works with
Claude CodeClaudeCodexChatGPT (web)CursorWindsurfVS CodeOpenAI AgentsVercel AI SDKLangChainn8nMakeZapier
Your Postiv workspaceExample workflow
From an idea to a LinkedIn draftMCP
Turn our product launch notes into a LinkedIn post. Use our voice and save it as a draft.
Connected through Postiv
Your assistant works with your brand knowledge, profiles, and content.
Brand knowledge retrieved
search_knowledgePost saved to your workspace
create_post Product launchDraft
We built this because the best ideas shouldn’t get stuck in a notes app.
Keep creating in your favorite AI assistant
By Postiv · Updated
Real setup and workflow demo
See Claude use LinkedIn tools through Postiv
Watch the complete connection process, then see Claude research successful posts, create content, and analyze LinkedIn performance inside one conversation.
Create
Turn a conversation into a real draft
Create a post in the correct Postiv workspace, refine it in Claude, then open the saved draft for visual review.
Analyze
Explain performance in plain English
Pull cached LinkedIn metrics into Claude, compare periods, and identify the content experiments worth testing next.
Choose the right connector
A content workflow, not a browser scraper
Many tools use the phrase LinkedIn MCP for different jobs. Postiv is designed for content teams that want controlled research, creation, visuals, scheduling, and analytics. It does not automate DMs or connection requests.
| Capability | Postiv MCP | Scraper MCP | Analytics connector |
|---|---|---|---|
| Research content inspiration | Yes | Varies | Usually no |
| Create grounded LinkedIn posts | Yes | Varies | Usually no |
| Generate images and carousels | Yes | Usually no | No |
| Schedule and reschedule posts | Yes | Varies | Usually no |
| Respect human approval rules | Yes | Varies | No |
| Analyze content performance | Yes | Varies | Yes |
| Automate DMs or connection requests | No | Often | No |
Connect in three steps
Connect Claude to LinkedIn with Postiv
Sign in with your Postiv account and approve the workspace your assistant can use. Choose Claude or ChatGPT below for the direct setup link and connection details.
Connect LinkedIn to Postiv
Choose the personal profile or Company Page that Claude should work with. Postiv remains the controlled content layer.
Add Postiv to your AI app
Open the Claude or ChatGPT setup link below. Add https://postiv.ai/mcp and use the public OAuth client details.
Sign in and choose your workspace
Sign in to Postiv, choose a workspace, and approve access. Ask your assistant to confirm the workspace before creating content.
LinkedIn MCP server URL and requirements
- Hosted endpoint
https://postiv.ai/mcp- Connection
- Streamable HTTP. Claude and ChatGPT use OAuth; other clients can use an organization API key.
- Before you connect
- A Postiv workspace, a connected LinkedIn profile or Company Page, and an MCP-compatible client.
Connect with your Postiv account
Sign in, choose a workspace, and approve access. No organization API key is needed for Claude or ChatGPT.
Connect Postiv to Claude
Add a custom connector, then sign in with your Postiv account.
Open Claude connectors- 1Open Claude connectors, choose Add custom connector, and name it Postiv.
- 2Paste the MCP server URL from this guide and choose Continue. Wait for Claude to check the server.
- 3On the authentication step, select Always required and Use your own OAuth client. Enter the OAuth client ID from this guide and leave the client secret empty. Then choose Add.
- 4Choose Connect on the Postiv connector. Sign in to Postiv, select your workspace, review the permissions, and choose Connect workspace.
- 5Enable Postiv in a new conversation and ask it to confirm your workspace and list your LinkedIn profiles.
MCP server URL
https://postiv.ai/mcpOAuth client ID
3db7f794-4990-4a61-a4e9-855d0c052eb5The client ID is a public setup value. Leave the client secret empty.
If your Claude version shows Advanced settings instead of a second setup step, enter the same client ID there and leave the secret empty. If Postiv already exists, use that connector instead of adding a duplicate.
Permissions, refresh, and reconnecting
Read & write is selected by default for new connections and allows creating, editing, deleting, scheduling, and publishing content, plus approvals and engagement actions. Choose Read only if you only need research and reporting.
Your AI app refreshes access automatically while the authorization remains valid. If it asks you to sign in again, reconnect from its connector settings.
Existing connections keep their original permissions. To change workspace or access, revoke the connection in Postiv and reconnect. Claude and ChatGPT currently share the Postiv MCP authorization, so revoking it can disconnect both.
Using Claude Code, Cursor, Codex, or an existing API-key connection? Follow the API-key setup guide. The full tool reference lists available actions and permissions.
Copy and try
Six useful Claude prompts for LinkedIn
Start with a read-only research request. Move to creation and scheduling only after you have confirmed the correct Postiv workspace and LinkedIn profile.
ResearchPrompt 1
Find the strongest educational posts in my inspiration library from the last 90 days. Group them by hook type and format, then explain the patterns without copying the wording.
AnalyticsPrompt 2
Show my top five LinkedIn posts from the last 90 days and explain the topics, structures, and calls to action they have in common.
WritingPrompt 3
Draft a LinkedIn post about [topic] using my workspace knowledge and normal voice. Ask me two clarifying questions before creating the draft.
RepurposingPrompt 4
Take my best-performing post from the last 90 days and propose three new angles. Keep the core insight, but do not reuse the original wording.
CarouselPrompt 5
Turn the approved post into a five-slide LinkedIn carousel outline. Show me the slide copy first and wait for approval before rendering it.
SchedulingPrompt 6
List my approved, unscheduled drafts and recommend a balanced publishing order for next week. Do not schedule anything until I confirm the plan.
Inside the MCP server
Postiv workflows become agent-callable tools
Your agent can create useful LinkedIn work with real workspace context, explicit actions, and one connected content system.
postiv-linkedin-mcp
Content workflow toolsget_workspace
search_knowledge
search_inspiration
create_post
schedule_post
create_carousel
generate_post_image
get_analytics_summary
Workspace context
Confirm the connected workspace and available scopes before an agent takes action.
Knowledge grounding
Save and retrieve real positioning, product facts, and brand knowledge instead of asking an agent to guess.
Inspiration research
Search a moderated library of high-performing LinkedIn content before creating an original draft.
Profiles and Comment Plug
Choose the correct LinkedIn profile or Company Page and manage its automatic first comment.
Post drafting and editing
Create, list, retrieve, and update saved LinkedIn posts through a controlled draft lifecycle.
Scheduling with approvals
Schedule, reschedule, and unschedule posts while respecting approvers configured on the target profile.
AI image generation
Create a branded image for a post, then iterate on it with plain-language instructions.
Carousel generation
Turn a structured outline into a branded LinkedIn carousel and edit individual slides before publishing.
Performance analytics
Read cached LinkedIn performance summaries, top posts, account trends, and post-level analytics.
Interactive widgets
Supported MCP hosts can render Postiv post editors, image previews, carousel pagers, and inspiration cards inline.
LinkedIn-safe formatting
Postiv converts formatting into LinkedIn-safe text so published posts display as intended.
Controlled publishing
Scheduling always queues the post, and configured approval rules still apply before it can go live.
Security and control
Keep credentials private and humans in control
The MCP makes capabilities available to your agent. Your Postiv workspace, key scopes, target profile, and approval rules determine what happens next.
Scoped workspace access
Choose the workspace and permissions during sign-in. New connections default to Read & write; Read only is also available.
Review before scheduling
Ask Claude to show the final copy, target profile, date, and time before it queues a post.
Approval rules stay active
Posts still wait for approval when the selected LinkedIn profile has approvers configured.
Revoke access anytime
Manage connected apps in Postiv to revoke an OAuth connection. Existing API-key connections can still be revoked by regenerating their key.
LinkedIn MCP FAQ
Questions about connecting Claude to LinkedIn
What is a LinkedIn MCP server?
A LinkedIn MCP server is a connector that gives an AI assistant a defined set of LinkedIn-related capabilities. Postiv's hosted server focuses on content workflows such as research, drafting, visuals, scheduling, approvals, and analytics.
Can Claude connect to LinkedIn?
Yes. Claude can connect to Postiv's hosted LinkedIn MCP server. Postiv then gives Claude controlled access to the LinkedIn content workflows and connected profiles available in your Postiv workspace.
What can Claude do after connecting Postiv?
Claude can research inspiration, use workspace knowledge, create and edit posts, generate images and carousels, schedule approved content, and analyze cached LinkedIn performance data.
Can Claude publish a LinkedIn post without my approval?
Postiv's schedule action queues a post instead of publishing it instantly. If the target profile has approvers configured, its existing approval workflow still applies. You can also instruct Claude to show the final post before scheduling.
Does Postiv scrape LinkedIn or automate DMs?
No. Postiv's LinkedIn MCP is built for content research, creation, scheduling, and performance workflows. It is not designed for profile scraping, connection requests, or automated direct messages.
Does the LinkedIn MCP work with Claude Code?
Yes. Claude Code can connect to the hosted MCP endpoint with an Authorization header. The exact command and authentication options are available in the hosted MCP documentation on Postiv.
Can Claude work with a LinkedIn Company Page?
Yes, provided the Company Page is connected to your Postiv workspace and your account has permission to manage it. Confirm the target profile before creating or scheduling content.
Do I need an API key to connect Claude or ChatGPT?
No. Sign in with your Postiv account, choose a workspace, and approve access. API keys remain available for the REST API, Claude Code, and other clients. Existing keys keep working.
What is the Postiv LinkedIn MCP server URL?
The hosted endpoint is https://postiv.ai/mcp. Claude and ChatGPT connect through OAuth: sign in to Postiv, select your workspace, and approve access. Claude Code and other API-key clients can use an Authorization bearer header. You need a Postiv workspace and a connected LinkedIn profile or Company Page to work with its content.
Can I use the LinkedIn MCP with ChatGPT or Cursor?
Postiv supports Streamable HTTP MCP clients. ChatGPT on the web can connect through a custom MCP app where your plan, role, and workspace settings permit it. Cursor and other clients can use the hosted endpoint with API-key authentication. Client setup and support for interactive previews vary, so follow the configuration guide for your client.
Can I analyze LinkedIn performance through MCP?
Yes. Postiv exposes cached analytics for connected LinkedIn accounts, including performance summaries, top posts, account trends, and individual post analytics. Ask your assistant to compare a specific period and identify patterns in your best-performing posts. These are the metrics available in Postiv, not a live scrape of arbitrary LinkedIn profiles.
Is Postiv an official LinkedIn MCP server?
Postiv’s hosted MCP server is provided by Postiv, not by LinkedIn. It connects an MCP-compatible assistant to the content workflows and LinkedIn accounts in your Postiv workspace. Your approved workspace permissions determine the available access, and the target profile’s configured approval rules still apply to scheduling.
Do I need to install a LinkedIn MCP server from GitHub?
No. Postiv hosts the server, so you configure the endpoint in your assistant instead of cloning a repository or running a local server. You need a Postiv workspace and a compatible MCP client. Claude and ChatGPT use OAuth; other clients can use an organization API key. Check Postiv’s pricing page for current plans and your AI client’s requirements before connecting.
Give Claude controlled LinkedIn capabilities
Connect your Postiv workspace, verify the right profile, and turn your next LinkedIn idea into an approved content workflow.