How to integrate Linkedin MCP with Kimi Code

How to integrate Linkedin MCP with Kimi Code Kimi Code is Moonshot AI's open-source coding agent, powered by Kimi K2.6. It runs in your terminal, reads and edits code, executes shell commands, and plans multi-step tasks, with native MCP support for extending it to outside tools. In this guide, I will explain the easiest and most secure way to connect your Linkedin account to Kimi Code via Composio Connect, so it can share a new post about our product launch, delete your last published LinkedIn post, fetch company pages I can manage, and more without ever putting your account credentials at risk.

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LinkedIn is a professional networking platform for connecting, sharing content, and engaging with business opportunities. It's the go-to place for building your professional brand and unlocking new career connections.

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How to integrate Linkedin MCP with Kimi Code

Kimi Code is Moonshot AI's open-source coding agent, powered by Kimi K2.6. It runs in your terminal, reads and edits code, executes shell commands, and plans multi-step tasks, with native MCP support for extending it to outside tools.

In this guide, I will explain the easiest and most secure way to connect your Linkedin account to Kimi Code via Composio Connect, so it can share a new post about our product launch, delete your last published LinkedIn post, fetch company pages I can manage, and more without ever putting your account credentials at risk.

Also integrate Linkedin with

ChatGPTAntigravityOpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenCodeCursorVS CodeOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

Why use Composio?

Composio provides:

  • Access to 1,000+ managed apps from a single MCP endpoint. This makes it convenient for agents to run cross-app workflows.
  • Managed OAuth. You do not have to worry about authentication and authorization flows for every app.
  • Programmatic tool calling. Allows LLMs to write code in a remote workbench to handle complex tool chaining. This reduces back-and-forth for frequent tool calls.
  • Large tool response handling outside the LLM context. This minimizes context bloat from large tool responses.
  • Dynamic just-in-time access to thousands of tools across hundreds of apps. Composio loads the tools your agent needs, so LLMs are not overwhelmed by tools they do not need.

Connect Linkedin to Kimi Code

Kimi Code is a TypeScript agent distributed through npm. It acts as an MCP client and reads server definitions from an mcp.json file, and it can also add and authenticate servers conversationally through /mcp-config. Composio is a remote HTTP server that authenticates with OAuth, so no API key is stored anywhere.

1. Install Kimi Code

The quickest way is the official install script, which requires no pre-installed Node.js and places the kimi executable on your PATH.

bash
# macOS or Linux
curl -fsSL https://code.kimi.com/kimi-code/install.sh | bash

# Windows PowerShell
irm https://code.kimi.com/kimi-code/install.ps1 | iex

# Confirm the installation
kimi --version

2. Log in

Start Kimi Code in your project directory, then sign in from the interactive UI:

bash
kimi

Run /login and choose Kimi Code OAuth using the device-code flow, or use a Moonshot API key.

3. Add Composio with /mcp-config

In current versions of Kimi Code, MCP servers are managed inside the app, not with a shell subcommand. From the interactive UI, run:

bash
/mcp-config
Kimi Code MCP config flow for adding the Composio MCP server

Tell it the server name and URL in plain language. For example:

Server name is Composio, and here is the server URL: https://connect.composio.dev/mcp

Kimi Code asks whether to add it globally, at ~/.kimi-code/mcp.json, or project-local for the current checkout, then writes the entry for you:

bash
{
  "mcpServers": {
    "Composio": {
      "url": "https://connect.composio.dev/mcp"
    }
  }
}

There is no transport field to set. Kimi Code infers HTTP from the url.

4. Restart the session

The new server is picked up on a fresh session, not the current one. Start a new session:

bash
/new

On the new session, Kimi Code detects that the server needs authorization and prompts you to run:

bash
/mcp-config login Composio

5. Authorize with OAuth

Run the command Kimi suggests:

bash
/mcp-config login composio

Kimi Code opens Composio's authorization page or surfaces a URL. Approve access, then return to the session. You should see confirmation that the Composio MCP server is connected.

Composio authorization page for Kimi Code MCP setup

Check the connection status any time with /mcp. Composio should appear as connected with its tools listed.

Kimi Code showing Composio connected after OAuth authorization

Connect your Linkedin account

Back in a Kimi Code session, ask the agent to connect to Linkedin or give it any Linkedin-related task.

For example, ask it to:

  • "Share a new post about our product launch"
  • "Delete your last published LinkedIn post"
  • "Fetch company pages I can manage"

It will prompt you to authenticate and authorize access to Linkedin.

That is it. Composio tools are now available in Kimi Code, and your Linkedin account is ready to use.

Conclusion

You have successfully connected Linkedin to Kimi Code using Composio Connect. Your agent can now manage Linkedin from the terminal with natural language, without exposing credentials in prompts or local scripts.

Since the same Composio endpoint exposes 1,000+ apps, you can add Slack, Calendar, Linear, and more to the same server and chain them into cross-app workflows.

TOOLS

Supported Tools

Every Linkedin action and event your agent gets out of the box.

Create article or URL share

Tool to create an article or URL share on LinkedIn using the UGC Posts API.

Create comment on LinkedIn post

Tool to create a first-level or nested comment on a LinkedIn share, UGC post, or parent comment via the Social Actions Comments API.

Create a LinkedIn post

Creates a new post on LinkedIn for the authenticated user or an organization they manage.

Delete LinkedIn Post

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

Delete Post

Delete a LinkedIn post using the Posts API REST endpoint.

Delete UGC Post (Legacy)

Delete a UGC post using the legacy UGC Post API endpoint.

Get ad targeting facets

Tool to retrieve available ad targeting facets from LinkedIn Marketing API.

Get audience counts

Retrieves audience size counts for specified targeting criteria.

Get company info

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

Get image details

Tool to retrieve details of a LinkedIn image using its URN.

Get images

Tool to retrieve image metadata including download URLs, status, and dimensions from LinkedIn's Images API.

Get my info

Fetches the authenticated LinkedIn user's profile information including name, headline, profile picture, and other profile details.

Get network size

Tool to retrieve the follower count for a LinkedIn organization.

Get organization page statistics

Tool to retrieve page statistics for a LinkedIn organization page.

Get person profile

Retrieves a LinkedIn member's profile information by their person ID.

Get post content

Tool to retrieve detailed post content including text, images, videos, and metadata from LinkedIn by post URN.

Get share statistics

Retrieves share statistics for a LinkedIn organization, including impressions, clicks, likes, comments, and shares.

Get videos

Retrieves video metadata from LinkedIn Marketing API.

Initialize image upload

Tool to initialize an image upload to LinkedIn and return a presigned upload URL plus the resulting image URN.

List reactions on entity

Retrieves reactions (likes, celebrations, etc.

Register image upload

Tool to initialize a native LinkedIn image upload for feed shares and return a presigned upload URL plus the resulting digital media asset URN.

Search ad targeting entities

Search for ad targeting entities using typeahead search.

FRAMEWORKS

How to build Linkedin MCP Agent with another framework

ChatGPT logo

ChatGPT

Use Linkedin MCP with ChatGPT

Antigravity logo

Antigravity

Use Linkedin MCP with Antigravity

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Linkedin MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Linkedin MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Linkedin MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Linkedin MCP with Claude Cowork

Codex logo

Codex

Use Linkedin MCP with Codex

Cursor logo

Cursor

Use Linkedin MCP with Cursor

VS Code logo

VS Code

Use Linkedin MCP with VS Code

OpenCode logo

OpenCode

Use Linkedin MCP with OpenCode

OpenClaw logo

OpenClaw

Use Linkedin MCP with OpenClaw

Hermes logo

Hermes

Use Linkedin MCP with Hermes

CLI logo

CLI

Use Linkedin MCP with CLI

Google ADK logo

Google ADK

Use Linkedin MCP with Google ADK

LangChain logo

LangChain

Use Linkedin MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Linkedin MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Linkedin MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Linkedin MCP with LlamaIndex

CrewAI logo

CrewAI

Use Linkedin MCP with CrewAI

FAQ

Frequently asked questions

With a standalone Linkedin MCP server, the agents and LLMs can only access a fixed set of Linkedin tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Linkedin and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Kimi Code fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Linkedin tools.

Yes, absolutely. You can configure which Linkedin scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Linkedin data and credentials are handled as safely as possible.

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Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati
Harsha Gaddipati
Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya
Abhi Arya
Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave
Nirman Dave
CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu
Ryan Yu
Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola
Tomisin Jenrola
Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche
Jerome Leclanche
Co-Founder, Ingram Technologies