Sign in Subscribe
New feature

Introducing the Reechee MCP Server

One URL turns Claude or Codex into a competitive research assistant with live data from software review platforms behind it.

Noam Dorr

• 4 min read
Paper collage of a hand pushing a vintage plug into a socket in a torn wall, with a paper-filled library behind it.

Ask your AI assistant what users complain about in HubSpot, Zendesk, DocuSign - any B2B software product - and it'll give you a solid answer. What it can't do on its own is read hundreds of real reviews, filter out the noise, and tell you what actually recurs, with a source on every claim. The Reechee MCP server gives your agent exactly that.

💡
TL;DR: Reechee's review intelligence - pain points, quotes, trends, and competitor data for 100,000+ software products - now ships as an MCP server. Add one URL to Claude, Codex, or any MCP client, sign in once, and ask what people hate about a product. New to Reechee? Start free, no card needed, then connect.

What can you ask?

Point any MCP client at https://mcp.reechee.io/mcp. Your client opens a browser sign-in, and there is no key to paste. New to Reechee? Start free, no card needed, then connect.

From there, your assistant can answer questions like:

  • "What are the top complaints about Monday.com right now?"
  • "Who competes with Intercom, and what do their users complain about?"
  • "Which CRM in this list has the worst onboarding complaints?"
Screenshot of Claude using the Reechee and web search connectors together to answer "what are the top complaints about Monday.com," showing quantified pain point themes with dated review quotes
One prompt, two connectors - Claude combines Reechee's quantified review data (52 mentions on onboarding complexity alone) with web search for a fuller answer.
⚠️
One thing worth knowing: assistants don't always reach for a new tool unless you point them at it. Ask "what do people hate about Zendesk" and you'll get a fine answer from the web alone. Say "use Reechee and web search to check what people hate about Zendesk" and you get both: whatever your assistant already finds, plus a quantified count of what's actually recurring across real reviews, with a source link on every quote.

All of this runs over MCP (Model Context Protocol), the open standard AI assistants use to reach live tools and data. Claude, Codex, and most serious AI clients can be easily set up with MCP. The Reechee MCP server is the same review intelligence that powers Opportunity Alerts and Pain Points Reports in the app, served over that standard.

What does connecting your account add?

Connect your account through https://mcp.reechee.io/mcp (no need to paste a key or edit a config file). It walks you through a normal browser login and consent screen - the same OAuth flow you know from connecting any two apps.

Once connected, your assistant works with your actual account:

  • Pull full Pain Points Reports: every theme, every quote, not just the top-three taste.
  • List your newest Opportunities, filter them, mark them viewed.
  • Manage your Watchlist - follow and unfollow products from a chat.
  • Check your credit balance and account status before doing anything that costs credits.

When you approve an optional credit budget on the OAuth consent screen, the credit-spending tools become enabled too:

Leave the budget empty and your assistant cannot spend credits at all. Your credit balance is the real floor, so nothing spends past what you actually hold. Every connection is visible and revocable in Settings, under Connected apps.

Connecting works from any account, but the depth follows your plan - learn more here: docs.reechee.io/guides/free-vs-paid.

If you're building a GTM engineering practice, this is what it looks like day to day: the signals stay in one system, and your agents reach them from wherever you already work.

What about the REST API?

The MCP server is a thin layer over a documented REST API at app.reechee.io/api/v1. Paying users can create API keys in Settings, each with its own spend cap, and build directly: search products, pull reports, list Opportunities, manage the Watchlist, trigger unlocks. Responses come back in a clean JSON envelope, and the full reference lives at docs.reechee.io/api-reference.

Webhooks are how Reechee pushes data out to your stack. The API is how your stack reaches back in.

How do you set it up?

Setup takes about two minutes:

  1. Open your MCP client's server settings (Claude: Settings, then Connectors. VS Code: the MCP panel).
  2. Add https://mcp.reechee.io/mcp and sign in when your client opens the browser. No Reechee account yet? Start free, no card needed, then connect.
  3. Ask something. "Use Reechee to check what users hate about [your biggest competitor]" is a good first question.
  4. Once connected, try: "What are my latest opportunities from Reechee?".

Step-by-step guides for each MCP client are at docs.reechee.io.

Why we built it

Reechee has always been about one idea: real, articulated customer frustration is the best buying signal in B2B SaaS. That's Frustration-Led Growth, and until now, acting on it meant coming to our dashboard.

But your team increasingly works inside AI assistants, and those assistants are only as good as the buyer intent data they can reach. Giving them direct access to the frustration data, one URL away, felt like the obvious next move. The people who ask "what do users hate about my competitor" and get a real answer are exactly the people who'll want the alert the moment a new frustration appears.

Paste the URL, sign in, and ask your agent what it can do with Reechee. New to Reechee? Start free, no card needed.

Noam Dorr

Noam Dorr

Co-founder of Reechee. MBA, B2B SaaS, GTM, AI, API, IPA, ADHD - and a few other abbreviations.

Sign up for more like this.

Enter your email
Subscribe