Give any AI assistant real-time access to your sales data. Search prospects, enrich contacts, and manage leads through natural language

The Model Context Protocol (MCP) is an open standard that lets AI assistants connect securely to external tools and access real data in real time. Amplemarket's MCP server turns your AI assistant into a sales copilot. It can search your prospect database, enrich contact profiles, pull up activity history, build lead lists, and query analytics, all within the conversation you're already having.

Unlike traditional API integrations, MCP requires zero code. You don't manage API keys, write scripts, or build middleware. You sign into your Amplemarket account when your AI client prompts you, and the connection is live. Every query runs against your real Amplemarket data with your account's permissions.

Amplemarket is one of the first sales platforms to ship a production MCP server. This matters because AI-native workflows are becoming the default for technical sales teams. Instead of switching between tabs, reps and leaders can prospect, research, and plan outreach from a single AI conversation.

• Search for prospects Use natural language filters to find qualified leads. Ask for "VPs of Engineering at fintech companies in NYC with 200 to 500 employees" and get results instantly from Amplemarket's database.
• Enrich contacts and companies Pull full profiles for any person or company, including job title, company size, industry, technology stack, and contact information. Enrichment costs 0.5 credits per request, same as enriching in-app, and results are cached for 24 hours.
• Manage lead lists Create, view, and add leads to lists without leaving your AI client. Build targeted lists by combining search criteria and save them for sequence enrollment.
• Access contacts and activity history Retrieve contacts from your account by email address and review past touchpoints to avoid redundant outreach and pick up conversations where they left off.
• Research accounts View and investigate accounts including engagement statistics, CRM data, opportunities, custom fields, tags, and AI-generated insights through conversational queries.
• Query analytics Ask questions about your sales performance in natural language. "What's my team's reply rate this month?" or "Which sequences have the highest meeting conversion?" The AI analyzes your data and returns insights with supporting numbers.

1. Open your AI client Launch ChatGPT, Claude, Cursor, Claude Code, or any MCP-compatible application.
2. Connect Amplemarket Add the Amplemarket MCP server using the URL below. When prompted, sign in with your Amplemarket account credentials. No API keys, no configuration files, no developer setup. OAuth 2.0 handles authentication securely.
3. MCP Server URL: https://mcp.amplemarket.com/mcp
4. Start working Ask your AI assistant to search for prospects, enrich a contact, or build a list. Every query runs against your live Amplemarket data with full permissions from your account.

Amplemarket's MCP server works with any client that supports the Model Context Protocol:

• ChatGPT — Requires Plus, Pro, Team, or Enterprise plan
• Claude — Requires Pro, Max, Team, or Enterprise plan
• Cursor — AI-powered code editor with MCP support
• Claude Code — Connect via terminal command
• Any future MCP-compatible client, the protocol is an open standard

Enrichment tools (enrich_person and enrich_company) cost 0.5 credits per request, same as enriching through the Amplemarket app. Results are cached for 24 hours, so repeated enrichments within that window don't cost additional credits. Revealing email addresses or phone numbers costs additional credits on top of the base enrichment.

The MCP server is rate limited to 100 requests per minute per user. If you exceed this limit, requests will be temporarily throttled.

Browse 36+ pre-built AI skills for prospecting, account research, pipeline management, and more. Each skill works instantly with your Amplemarket data through MCP.

Prospect research during meeting prep

You have a call with a VP of Sales at a fintech company in 20 minutes. Instead of opening Amplemarket, searching, and clicking through profiles, you ask your AI assistant: "Pull up everything we know about Sarah Chen at Stripe, her profile, our past touchpoints, and any recent company news." You get a complete briefing in seconds.

Build targeted lists from a conversation

Your team is launching a campaign targeting Series B SaaS companies with 100-500 employees in the US. You describe the criteria to your AI assistant, it searches Amplemarket's database, and you review the results conversationally, narrowing by job function, excluding existing customers, and saving the final list for sequence enrollment.

Analytics without dashboards

A sales leader asks Claude: "What's our team's average reply rate across all active sequences this quarter, and which sequences are outperforming?" Instead of navigating dashboards, the answer comes back in the conversation with specific numbers and sequence names.