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Goava MCP - Quick Guide

Search, segment, and pull Goava data straight from Claude, ChatGPT, or Copilot.

What is Goava MCP?

Goava MCP connects Goava's data to other systems like Claude, ChatGPT, and CoPilot over the Model Context Protocol. It lets an AI assistant search and rank companies, build segments and ICPs, and pull opportunities and signals directly, without leaving the chat. The regular Goava dashboard still works as normal alongside it.

How to connect it

Claude

  1. In Claude, go to Settings → Connectors (in some views: Customize).
  2. Click the "+" button and choose "Add custom connector".
  3. Name it Goava.
  4. Set the server URL to https://mcp.goava.com/mcp.
  5. Click Connect, then log in with your Goava account.
  6. Approve the requested permissions.
  7. In a chat, enable the Goava connector and start asking — e.g. "Find B2B wholesalers with a webshop in Sweden using Goava MCP".

ChatGPT

  1. In the ChatGPT app, go to Settings → Connectors (or MCP servers under Advanced/Developer settings, depending on your plan).
  2. Click Add server and choose Streamable HTTP as the connection type.
  3. Name it Goava and set the server URL to https://mcp.goava.com/mcp.
  4. Save, then click Authenticate next to Goava and log in with your Goava account.
  5. Approve the requested permissions, then click Restart to activate the connection.
  6. In a chat, type /mcp to confirm Goava is connected, then start asking — e.g. "Find B2B wholesalers with a webshop in Sweden using Goava MCP".

Copilot

  1. In VS Code, create a .vscode/mcp.json file (in your repo for a project-level setup, or your user settings for a personal one).
  2. Add a Goava server entry:

{
 "servers": {
 "goava": {
 "url": "https://mcp.goava.com/mcp"
 }
 }
}

  1. Click Start above the entry to launch the server and discover its tools.
  2. If prompted, click Auth, then log in with your Goava account and approve the requested permissions.
  3. Open Copilot Chat, switch to Agent mode, and click the tools icon to confirm Goava's tools are listed.
  4. Start asking — e.g. "Find B2B wholesalers with a webshop in Sweden using Goava MCP".

What tools it has

Tool

What it does

Prospector

Search for companies with scored/ranked lookups, plain text search, or alphabetical browsing. Also creates new segments and ICPs (Ideal Customer Profiles) from a description.

Research filter

Translates a plain-language description of a target company profile (industry, location, size, revenue, tech stack, news, and more) into Goava's structured filter criteria. Also lists existing segments and inspects the filters behind any of them.

Prospecting agent

Sets up, edits, and checks the status of autopilot rules that proactively find new companies matching an ICP or segment, on a schedule or triggered by signals.

Research agent automation

Sets up AI research prompts that automatically run on companies already sitting on a pipeline list (e.g. Qualified, My Customers), and manages which lists/users they apply to.

Get opportunities

Retrieves opportunities and signals the prospecting agent or signal agent surfaced in a given date range — fit score, why-now signal, recommended contacts, and suggested next steps.

Get company profile

Checks whether a scored company profile report exists for the user's own company.

What it can be used for

  • Prospecting straight from chat — describe an ideal customer in plain language and get a ranked list of matching companies, without opening the Goava dashboard.
  • Building and saving new segments and ICPs on the fly, for a new product line, region, or campaign.
  • Reviewing daily/weekly opportunities and signals (e.g. a morning check of what the prospecting agent surfaced overnight) and getting a suggested contact and pitch for each.
  • Setting up or adjusting prospecting-agent automations (cadence, credit budget, which list to prospect from) conversationally instead of through settings screens.
  • Combining Goava data with other connected tools in the same conversation — for example, cross-checking a prospect against CRM history before drafting outreach.

Note: Contacts can be fetched from opportunities with the Goava MCP. But contact-level data (names, direct emails, phone numbers) for entire segments or companies still isn't available through MCP - use the Goava platform itself for that, or the AI agents there.