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The Evermuse MCP server gives your AI agent the customer understanding behind better product decisions. It connects any Model Context Protocol client to your Evermuse workspace, so the agent can research customer needs, pain points and feedback, read the meetings and documents behind them, and draft PRDs, specs, briefs, personas and user stories grounded in what customers actually said. Evermuse turns scattered customer signals into product understanding that grows with your business. The MCP server brings that understanding into the tools where you already work.

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Server URL

The server is a hosted, remote MCP server. It uses the Streamable HTTP transport and authenticates with OAuth 2.1, so you sign in with your Evermuse account. You don’t need an API key or a local install.

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What your agent can do

Research customers

Search customer needs, feedback, quotes and pain points across every meeting, call, email and document in your workspace, with links back to the original evidence.

Find the important patterns

Connect findings across sources to uncover recurring pain points, machine-suggested opportunities and competitor capabilities.

Turn evidence into action

Run guided workflows that draft PRDs, feature specs, briefs, personas and user stories grounded in cited customer evidence.

Pick up where you left off

Save meetings, notes, documents and shaping notes back to Evermuse, so later conversations start from what you already know.

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How it works

1

Connect

Add https://api.evermuse.com/api/mcp as a custom connector or MCP server in your AI client. See Connect your AI client.
2

Sign in and choose a workspace

Your client opens the Evermuse sign-in page. Sign in or create an account, pick the workspace the agent should access, and approve the connection. See Authentication.
3

Ask a product question

Ask things like “What are the biggest pain points in our customer interviews?” The agent loads Evermuse’s research methodology, picks your product, runs the matching workflow and answers with citations that link to the original evidence in Evermuse. See Example prompts.

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Supported clients

Evermuse works with any MCP client that supports remote servers over Streamable HTTP with OAuth. Step-by-step setup is available for:

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At a glance

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Requirements

  • An Evermuse account. You can create one during the connection flow with Google, Microsoft or email.
  • An Evermuse workspace with at least one product. The sign-in flow walks you through creating both if you don’t have them yet.
  • An MCP client that supports remote (HTTP) servers with OAuth.
All research data in Evermuse belongs to a product inside your workspace. Agents should start by calling get_products and passing the chosen product_id to every product-scoped tool. The server’s built-in instructions tell agents to do this automatically.

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Next steps

Connect your AI client

Setup instructions for Claude, ChatGPT, Cursor, Codex, VS Code and others.

Tools reference

Every tool, its parameters, annotations and what it returns.

Example prompts

Real-world prompts and the tool calls they trigger.

Security & privacy

How access is scoped, what is stored and what is logged.