LinkedIn MCP Server

la-rebelion/hapimcp

Wraps the LinkedIn API so you can pull profile data and push posts without writing your own MCP server. Built on HAPI MCP, which auto-generates MCP tools from OpenAPI specs, meaning the LinkedIn endpoints you already know are exposed as callable tools for Claude or any MCP client. Runs serverless at linkedin.run.mcp.com.ai over streamable HTTP. Reach for this when you want LinkedIn integration in an agent workflow but don't want to maintain OAuth flows, rate limits, and API versioning yourself. Your existing LinkedIn API permissions and audit logs carry through, and spec updates propagate to tools automatically.

tools: 4
transport: HTTP
last updated: Feb 19, 2026

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Tools

4 tools

Public tool metadata for what this MCP can expose to an agent.

LINKEDIN_CREATE_LINKED_IN_POSTCreates a new post on LinkedIn for the authenticated user or an organization they manage; ensure the user has necessary permissions if posting for an organization.6 params

Creates a new post on LinkedIn for the authenticated user or an organization they manage; ensure the user has necessary permissions if posting for an organization.

Parameters* required

authorstring

The URN of the LinkedIn member or organization creating the post. Use the GET_USER_INFO action to retrieve the 'author_id' (URN) for the authenticated user. For an organization, the URN will be in...

commentarystring

The main text content of the post. This field supports plain text and @-mentions (e.g., @[LinkedIn Member](urn:li:person:xxxx)). Maximum length: 3000 characters.

distributionobject

Specifies distribution rules for the post, including feed distribution and targeting.

isReshareDisabledByAuthorboolean

Set to true to prevent others from resharing this post.default: false

lifecycleStatestring

The state of the post. Use 'PUBLISHED' to post directly, 'DRAFT' to save as a draft, or 'PUBLISH_REQUESTED' if the post requires review before publishing.default: PUBLISHED

visibilitystring

Controls who can see the post. 'PUBLIC' makes it visible to everyone, 'CONNECTIONS' to connections only, 'LOGGED_IN' to signed-in LinkedIn members, and 'CONTAINER' for specific group/event posts.one of PUBLIC · CONNECTIONS · LOGGED_IN · CONTAINERdefault: PUBLIC

LINKEDIN_DELETE_LINKED_IN_POSTDeletes a specific LinkedIn post (share) by its unique `share_id`, which must correspond to an existing share.1 params

Deletes a specific LinkedIn post (share) by its unique `share_id`, which must correspond to an existing share.

Parameters* required

share_idstring

Unique identifier of the LinkedIn share (post) to be deleted.

LINKEDIN_GET_COMPANY_INFORetrieves organizations where the authenticated user has specific roles (ACLs), to determine their management or content posting capabilities for LinkedIn company pages.4 params

Retrieves organizations where the authenticated user has specific roles (ACLs), to determine their management or content posting capabilities for LinkedIn company pages.

Parameters* required

countinteger

The number of organization ACLs to return per page.default: 10

rolestring

The specific role to filter organization ACLs by.one of ADMINISTRATOR · DIRECT_SPONSORED_CONTENT_POSTERdefault: ADMINISTRATOR

startinteger

The starting index for pagination, representing the number of initial ACLs to skip.default: 0

statestring

The approval state of the role to filter by.one of APPROVED · REQUESTEDdefault: APPROVED

LINKEDIN_GET_MY_INFOFetches the authenticated LinkedIn user's profile, notably including the 'author_id' required for attributing content such as posts or articles.

Fetches the authenticated LinkedIn user's profile, notably including the 'author_id' required for attributing content such as posts or articles.

No parameter schema in public metadata yet.

Readme

HAPI MCP – Headless API for Model Context Protocol

Stop rewriting systems for AI. Instantly turn your APIs into MCP servers.

HAPI MCP lifts your OpenAPI catalog into MCP tools automatically, keeping design (OAS/Arazzo) and runtime (agents/LLMs) cleanly separated. Your existing APIs become AI-ready tools—no new business logic, no sidecar servers, no rework.

Key Features

No rewrites: Reuse 100% of your API logic. OpenAPI in, MCP tools out. No parallel codebase or shadow services.
Faster time-to-value: Turn specs into agent-ready tools in minutes. Update the spec, ship new tools instantly.
Reduced risk: Permissions, auth, rate limits, auditability are inherited from your APIs—governance without bolt-ons.
Scales with you: runMCP delivers serverless-like elasticity with long-running when needed. Cold-start fast, stay warm for throughput.
Deterministic orchestration: OrcA plans and executes multi-tool tasks predictably—no brittle prompt chaining.
Vendor-neutral: Works with any MCP client: ChatGPT, Claude, QBot, chatMCP. OAS + MCP + Arazzo stay portable.

View the full README on GitHub

Details

Repository: github.com/la-rebelion/hapimcp
Website: run.mcp.com.ai
Category: Data & Analytics
Transport: HTTP
Registry: MCP registry, active

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LinkedIn MCP Server

Tools

Readme

HAPI MCP – Headless API for Model Context Protocol

Key Features

Details

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