MCP for AI workflows

Connect Linked Panda to your favorite AI.

Linked Panda MCP lets AI clients work with your workspace after OAuth authorization. Ask ChatGPT, Claude, Cursor, Claude Code, or another MCP-compatible client to find leads, inspect ICPs, review tracked profiles and posts, or prepare the next sales workflow.

Starts from $10. Credits never expire.

mcp.linkedpanda.com / mcp
ChatGPTClaudeCursorClaude CodeOther MCP
AI client
Ask for qualified leads, ICP context, or workspace summaries.
Linked Panda MCP
OAuth, workspace scope, and existing permissions.
LeadsICP, score, email, date
ICPsRead, create, update
ProfilesRead and add tracking
PostsAuthor and lead counters
How it works

From LinkedIn signal to sales action.

01

Add the MCP endpoint

Create a Linked Panda MCP connection in ChatGPT, Claude, Cursor, Claude Code, or another client that supports remote Streamable HTTP MCP servers.

02

Authorize a workspace

Sign in with Linked Panda, choose the workspace the AI client can access, and let OAuth bind the token to that workspace.

03

Ask AI to work the data

Prompt your AI to fetch qualified leads, summarize activity, compare ICPs, add tracked profiles, or prepare actions using Linked Panda data alongside its other tools.

Benefits

Built for teams that need pipeline, not vanity metrics.

Workspace-scoped access

MCP tokens are tied to the workspace selected during OAuth, so an AI client only works inside the account context you approve.

Existing permissions still apply

The MCP server checks the same Linked Panda permissions as the app. Read and write tools require the user to have the matching workspace permission.

Controlled updates

Mutating tools are limited to current MCP capabilities such as adding tracked profiles and creating or updating ICPs. Adding profiles also checks subscription or credit state.

Product proof

A lead record your team can use.

The feature pages stay close to the actual product shape: tracked LinkedIn engagement, enriched lead records, ICP scores, and export-ready context.

TransportRemote MCP
AuthOAuth 2.1
ScopeWorkspace RBAC
MK
Marina Kovac
VP Sales - Acme Robotics
Transport
Remote MCP
Auth
OAuth 2.1
Scope
Workspace RBAC
Lead contextqualified
Find and filter leads by ICP, score, email status, firmographics, date, and engagement.
Read workspace summaries, tracked profiles, ingested posts, and ICP definitions.
Create or update ICPs and add tracked LinkedIn profiles when permissions allow.
FAQ

Questions sales teams ask before using MCP.

What is the Linked Panda MCP?

It is Linked Panda's remote Model Context Protocol server. MCP-compatible AI clients can connect through OAuth and use Linked Panda tools for leads, ICPs, tracked profiles, posts, and workspace summaries.

Which AI tools can use it?

The setup guide covers ChatGPT, Claude, Claude Code, Cursor, and other MCP clients that support remote Streamable HTTP servers with OAuth discovery.

Can AI fetch all my leads?

Yes, if the connected user has lead-viewing permission. The find_leads tool supports filters for ICP, score, email status, firmographics, engagement, dates, and pagination.

Can AI update Linked Panda data?

Yes, within the tools available today and only with the right permissions. The MCP can add tracked LinkedIn profiles and create or update ICPs.

Does the MCP bypass Linked Panda permissions?

No. The MCP server checks the connected user's workspace permissions before every tool call, and tokens are bound to the workspace chosen during OAuth.

Is the MCP endpoint meant to open in a browser?

No. The endpoint is for MCP clients. A browser may show unauthorized until an MCP client starts OAuth and sends a bearer token.

Start turning signals into pipeline.

Capture profiles, verify emails where available, and prove the channel before committing to a plan.

Sign up

Your first payment gets 3× credits. One-time welcome bonus — top-up or plan, either works.