MCP, REST, and webhooks
Expose LinkedIn actions as typed MCP tools for AI agents, while offering REST for backend applications and webhooks for event-driven workflows.
GTM API
GTM API is an account-based LinkedIn API and MCP server that lets AI agents and backend applications search, enrich, connect, and message through users’ own LinkedIn accounts. It provides MCP, REST, and webhook interfaces with hosted account infrastructure and pacing controls.
LinkedIn access for AI agents and backend workflows
GTM API is an account-based LinkedIn API and Model Context Protocol (MCP) server for AI agents. Instead of relying only on LinkedIn’s restricted official endpoints, it lets developers connect their own LinkedIn accounts and expose search, networking, messaging, scraping, enrichment, and account-monitoring actions through a typed contract.
Agents can use MCP, backend applications can use REST, and event-driven systems can use webhooks. Connected accounts run through hosted cloud-browser infrastructure with account-specific proxies and controls such as smart limits, warm-up curves, single-session protection, and account-health data. LinkedIn is available today; email, messaging platforms, and calendars are described as future channels.
Core capabilities
LinkedIn search and scraping
Search people, companies, posts, and related results, including searches by URL or parameters and saved-search workflows.
Messaging and network actions
Send and manage connection requests, direct messages, InMail, Sales Navigator messages, and conversation history from connected accounts.
Profile and company enrichment
Retrieve full and lite profiles, contact information, posts, company data, and engagement details as typed JSON for downstream workflows.
Account infrastructure and pacing
Run accounts through isolated cloud browsers with dedicated residential proxies, single-session protection, smart limits, warm-up curves, and account-health monitoring.
Agent and workflow connectivity
Connect the product to Claude, Cursor, ChatGPT, LangChain, n8n, Make, Zapier, Windmill, OpenAI Agents, or a custom backend using the documented MCP or API approach.
Practical use cases
GTM engineering
Connect an AI agent to a GTM stack so it can find prospects, enrich records, and take approved LinkedIn actions without maintaining separate browser automation and API glue.
AI-assisted SDR workflows
Use an agent to identify target prospects, send connection requests or messages, read replies, and hand conversations back to a person when judgment is needed.
Agency account operations
Run LinkedIn operations for multiple client accounts from an agency’s own application or backend, with connected-account infrastructure and account activity controls.
Platform integrations
Add LinkedIn search, enrichment, and outreach capabilities to an existing sales or automation platform through REST, MCP, and webhooks instead of building the account and browser layer internally.
Pros and Cons
Pros
- One typed contract supports MCP for agents, REST for backends, and webhooks for events.
- Covers a broad LinkedIn workflow, including search, enrichment, connection requests, messaging, post engagement, and account monitoring.
- Hosted cloud-browser infrastructure includes isolated sessions, dedicated proxies, auto re-authentication, and server-side pacing controls.
- The free plan provides access to the product with one connected account, while paid plans use connected-account billing and include unlimited API calls and actions.
Cons
- The product requires users to connect and operate their own LinkedIn accounts rather than using only LinkedIn’s official API.
- Email, external messengers, and calendar integrations are listed as roadmap or upcoming channels rather than live LinkedIn functionality.
- Outbound actions and account activity are subject to smart limits, warm-up behavior, and plan-dependent volume or sync constraints.
FAQ
What is GTM API?
GTM API is an account-based LinkedIn API and MCP server. You connect your own LinkedIn account, then use MCP tools for AI agents, REST for backends, and webhooks for events.
How do I connect an AI agent to LinkedIn?
For supported clients, connect by installing the MCP server or adding the hosted MCP endpoint, then approve the browser-based consent flow. Claude Code can use the documented MCP command. Clients that require stdio, or headless agents, can use the npm CLI with an API key.
What can an agent do through GTM API?
The agent can search people and companies, enrich profiles, send and accept connection requests, send LinkedIn messages and InMail, search conversations, and work with posts and their engagers. The product documentation describes more than 160 typed tools across 11 LinkedIn toolsets.
Which channels and integrations are available?
LinkedIn is the live channel. Email, messengers, and calendars are presented as upcoming channels using the same typed-contract approach; the source lists Gmail, Outlook, IMAP, WhatsApp, Telegram, Instagram, Google Calendar, Microsoft, and iCal in those roadmap areas.
How is GTM API priced?
Pricing is based on connected accounts rather than API actions. The pricing page says there is a free plan for one connected account and that paid plans include unlimited API calls and actions; account pricing scales with volume, and a 5G Proxy add-on is available.
Quick Facts
- Category
- Developer tool / API
- Primary platform
- Interfaces
- MCP, REST API, and webhooks
- Primary users
- GTM engineers, AI-agent builders, agencies, and platforms
- Live channel
- Billing model
- Per connected account; free plan available
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