LinkedIn

Live

OAUTH 2.0

SOCIAL

Media

Every connection, profile, and professional signal your team leverages lives in LinkedIn. LinkedIn MCP gives your agent authenticated access to professional network data scoped to the user who authorized it.

  • Acts as the user: Access and write actions stay tied to the LinkedIn account that authorized the agent.
  • Credentials stay vaulted: AES-256, resolved at request time, never in LLM context.
  • Scoped before every call: User permissions enforced. 90-day audit trail.
LinkedIn
agent · Acme Q3
Run
Find all my connections who work at companies that recently raised Series B funding.
S
linkedin_connections_list
86ms
Social selling agent
8 connections at recently funded Series B companies. Top: Sarah Chen (FinFlow, $28M raised Oct), James Park (PayStack Pro, $22M Sep), Maria Santos (LoanBridge, $18M Nov). All 1st-degree connections.
Sources: 8 connections, recent Series B
linkedinmcp
8 connections
18:29
Message Claude...

Tools your social selling agent reaches for on LinkedIn, scoped per user.

CALL ANY TOOL
Get profiles and connections, retrieve company pages, list posts, and send direct messages.
linkedin_post_get
Post get
Get a specific LinkedIn post by its URL-encoded URN (e.g. urn%3Ali%3AugcPost%3A12345).
Parameters
Name
Type
Required
Description
id
string
Required
URL-encoded post URN, e.g. urn%3Ali%3AugcPost%3A12345.
linkedin_post_like
Post like
linkedin_post_create
Post create
linkedin_post_delete
Post delete
linkedin_post_update
Post update
linkedin_post_comments_list
Post comments list
linkedin_post_comment_create
Post comment create
linkedin_asset_get
Asset get
linkedin_posts_list
Posts list
linkedin_email_get
Email get
linkedin_share_create
Share create
linkedin_comment_get
Comment get
linkedin_member_search
Member search
linkedin_profile_get
Profile get
linkedin_campaigns_list
Campaigns list
linkedin_campaign_get
Campaign get
linkedin_comment_delete
Comment delete
linkedin_creative_get
Creative get
linkedin_creatives_list
Creatives list
linkedin_userinfo_get
Userinfo get
linkedin_message_create
Message create
linkedin_reactions_list
Reactions list
linkedin_campaign_create
Campaign create
linkedin_campaign_delete
Campaign delete
linkedin_campaign_update
Campaign update
linkedin_creative_create
Creative create
linkedin_creative_delete
Creative delete
linkedin_creative_update
Creative update
linkedin_reaction_create
Reaction create
linkedin_reaction_delete
Reaction delete
Build your Agent
Drop the toolkit in, point it at the user, and your social selling agent can use LinkedIn from the first run.
Python · LlamaIndex
import { ScalekitClient } from "@scalekit-sdk/node";
import { DynamicStructuredTool } from "@langchain/core/tools";
import { createReactAgent } from "@langchain/langgraph/prebuilt";
import { z } from "zod";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);

const { tools } = await sk.tools.listScopedTools("user_123", {
filter: { connectionNames: ["linkedin"], toolNames: ["linkedin_profile_get", "linkedin_connections_list", "linkedin_company_get"] },
pageSize: 100,
});

const lcTools = tools.map((t) => new DynamicStructuredTool({
name: t.tool.definition.name,
description: t.tool.definition.description,
schema: z.object({}).passthrough(),
func: async (args) => {
const { data } = await sk.tools.executeTool({
toolName: t.tool.definition.name,
identifier: "user_123",
params: args,
});
return JSON.stringify(data);
},
}));

const agent = createReactAgent({ llm, tools: lcTools });
import { ScalekitClient } from "@scalekit-sdk/node";
import OpenAI from "openai";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const openai = new OpenAI();

const { tools } = await sk.tools.listScopedTools("user_123", {
filter: { connectionNames: ["linkedin"], toolNames: ["linkedin_profile_get", "linkedin_connections_list", "linkedin_company_get"] },
pageSize: 100,
});

const llmTools = tools.map((t) => ({
type: "function",
function: {
name: t.tool.definition.name,
description: t.tool.definition.description,
parameters: t.tool.definition.input_schema,
},
}));

const resp = await openai.responses.create({
model: "gpt-4o", input: prompt, tools: llmTools,
});
import { ScalekitClient } from "@scalekit-sdk/node";
import Anthropic from "@anthropic-ai/sdk";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const anthropic = new Anthropic();

const { tools } = await sk.tools.listScopedTools("user_123", {
filter: { connectionNames: ["linkedin"], toolNames: ["linkedin_profile_get", "linkedin_connections_list", "linkedin_company_get"] },
pageSize: 100,
});

const llmTools = tools.map((t) => ({
name: t.tool.definition.name,
description: t.tool.definition.description,
input_schema: t.tool.definition.input_schema,
}));

const msg = await anthropic.messages.create({
model: "claude-sonnet-4-6", max_tokens: 1024,
tools: llmTools,
messages: [{ role: "user", content: prompt }],
});
import { Agent } from "@google/adk/agents";
import {
MCPToolset, StreamableHTTPConnectionParams,
} from "@google/adk/tools/mcp";

const toolset = new MCPToolset({
connectionParams: new StreamableHTTPConnectionParams({
url: "https://mcp.scalekit.com/linkedin",
headers: { Authorization: `Bearer ${userScopedToken}` },
}),
});

const agent = new Agent({
name: "agent", model: "gemini-2.0-flash",
tools: await toolset.getTools(),
});
Try these prompts
Paste any prompt into your agent to start using LinkedIn.
Connections & search
Copy the prompt
Copied
List connections at [company].
Copy the prompt
Copied
Search for [title] in my network.
Copy the prompt
Copied
Find connections who changed jobs this month.
Copy the prompt
Copied
Who are my connections at Series B companies?
Profiles & companies
Copy the prompt
Copied
Get my LinkedIn profile.
Copy the prompt
Copied
Get company profile for [company name].
Copy the prompt
Copied
Who follows [company] that I'm connected to?
Copy the prompt
Copied
Find connections with [skill] in their profile.
Outreach & posts
Copy the prompt
Copied
Send a message to [connection]: [text].
Copy the prompt
Copied
List my recent LinkedIn posts.
Copy the prompt
Copied
Which posts got the most engagement this month?
Copy the prompt
Copied
Draft an outreach message for [connection] at [company].
SEE HOW AUTH WORKS
Users authorize LinkedIn once. Their credentials stay vaulted, every call is checked, and every action is logged.
1
Authorize
Your user connects
LinkedIn
once. We tie it to their identity and the meetings they approved — no shared bot account, no org-wide access
Who:
user ‘A’
when:
Once per user
access:
Limited to user
2
Store
Their
LinkedIn
token lives in a vault scoped to them. User A's meetings are never reachable by an agent acting for user B, even on the same connection
vault:
encrypted
scope:
per-user
tokens:
auto-refreshed
3
Resolve
When your agent calls a
LinkedIn
tool, we fetch the right token server-side. It never touches your agent, never appears in the LLM context, never shows up in your logs
speed:
~40ms
check:
before every call
seen by:
nobody
4
Audit
Every
LinkedIn
tool call is logged — who triggered it, which meeting was fetched, what came back. 90 days of history, tied to the user who authorized it
history:
90 days
export:
SIEM-ready
logged:
every call
Test other agents
Same per-user auth pattern across other social selling agents and MCP connectors. Working code, live demos, fork what fits.
GTM and RevOps Teams
Competitive intelligence briefing agent
Scans Gong calls for competitor mentions, matches each one to its Notion battlecard, and DMs every affected rep a single Slack digest per cycle. Every call runs as the PMM who owns the briefing, never a shared bot.
GTM and RevOps Teams
Outbound prospecting agent
Searches Apollo for prospects matching your ICP, scores and ranks them, drafts personalized outreach in Gmail, and logs every send to Google Sheets. Mail goes out as the rep, not from a shared inbox.
GTM and RevOps Teams
CRM AI agent
Reads the Granola transcript after every call, extracts next steps and updates the HubSpot record, drafts the follow-up in Gmail, and confirms in Slack, all on the rep's own delegated OAuth.
Support and Ops Teams
Meeting prep
Pulls agenda, participant context, and open action items before every meeting.
Test other agents
Same per-user auth pattern across other social selling agents and MCP connectors. Working code, live demos, fork what fits.
SALES
Outbound prospecting agent
Search Apollo for ICP matches, rank them, draft personalised Gmail outreach, and log every send to Google Sheets.
GTM
Competitive intelligence briefing agent
Scan Gong calls for competitor mentions, match each one to its Notion battlecard, and DM every affected rep a single Slack digest.
GTM
CRM AI agent
Turn each Granola call transcript into a HubSpot record update, a drafted Gmail follow-up, and a Slack recap.
OPS
Meeting prep agent
Assemble the agenda, HubSpot attendee history, and open action items from Gmail before every meeting on the calendar.
Why Scalekit
Secure your agent's access. Connectors ship in minutes
01.
Shared tokens break per-user analytics
A shared token looks fine in a demo. In production every call looks like a service account. Scalekit resolves the real user credential so attribution, audit, and scope stay accurate.
// shared token
 audit → bot_service_account
 user_filter → broken

 // scalekit
 audit → user_abc
 scope → enforced ✓
02.
Authentication is not authorization
03.
Multi-tenancy is architectural
04.
LinkedIn today. Others tomorrow.
“Our agents act across Salesforce, Gong, Google Drive, and more, on behalf of every customer. Scalekit behind the scenes meant we can keep adding tools without ever rebuilding how credentials or tool calling work.”
Venu Madhav Kattagoni
Head of Engineering / Von
FAQs
Frequently Asked Questions
Does the agent access LinkedIn as the user or as a shared key?
As the user. Each workspace member authorizes once and Scalekit resolves their credential at request time. Audit logs attribute every action to that user, not a shared service account.
Where is the LinkedIn oauth 2.0 stored?
In Scalekit's managed AES-256 token vault, namespaced per tenant. Refresh is automatic. Revocation is a single dashboard action. Tokens never appear in prompts, logs, or LLM context.
Can I limit what the agent is allowed to do in LinkedIn?
Yes. Pass a tool name filter to listScopedTools so the social selling agent only sees the subset you authorize. Pre-API-call scope checks block out-of-policy actions before the request reaches LinkedIn.
What happens when a user revokes LinkedIn access?
The connection is invalidated on the next tool call. Subsequent requests for that user fail closed with a clear error. Other users in the tenant remain unaffected. The event is logged for audit.
Can the agent message or view profiles outside the user's 1st-degree connections?
The agent can view public profiles but can only message 1st-degree connections. LinkedIn's API enforces connection-level access. InMail and out-of-network messaging require LinkedIn Premium and are not available via API.
Start in your coding agent
Up and running in one command
Install the Scalekit skill in your editor of choice. Connector, auth, tools, prompt, all wired up
Claude Code REPL
/plugin marketplace add scalekit-inc/claude-code-authstack
/plugin install agentkit@scalekit-auth-stack
Cursor Code REPL
# ~/.cursor/mcp.json
{
""mcpServers"": {
""linkedin"": {
""url"": ""https://mcp.scalekit.com/linkedin"",
""headers"": { ""Authorization"": ""Bearer $SCALEKIT_TOKEN"" }
}
}
}
Codex Code REPL
# ~/.codex/config.toml
[mcp_servers.linkedin]
url = ""https://mcp.scalekit.com/linkedin""
auth_env = ""SCALEKIT_TOKEN""
Copilot Code REPL
# .vscode/mcp.json
{
""servers"": {
""linkedin"": {
""url"": ""https://mcp.scalekit.com/linkedin"",
""type"": ""http""
}
}
}