Crossbeam MCP works with your AI GTM stack

Crossbeam is the ecosystem data layer for GTM. Connect it to the MCP servers your team already runs, and your AI acts on it across pipeline, deals, retention, and attribution.

Explore the use cases Discover MCP servers

Works with the tools your GTM team already runs

From a plain-language ask to a GTM workflow

Crossbeam brings the partner layer. Add one MCP server your team already runs, and the two together close a real GTM loop. Pick a use case to see which tools work with Crossbeam and what each one adds.

Turn a partner overlap into net-new pipeline

A partner already sells into accounts you have never touched. Crossbeam surfaces that overlap; the MCP server you run next turns it into a ranked, enriched, ready-to-work target list.

Crossbeam brings the partner layer. Finds the greenfield accounts a partner already sells to, and the partner contact who can open the door.

Works with any one of these

6sense Adds buying-stage and intent signal, so the overlap list gets ordered by who is actually in market.
ZoomInfo Pulls verified contacts, org charts, and intent for the overlapping accounts, so the list comes back with named people attached.
Clay Waterfalls dozens of data sources into one clean, enriched row per account, then triggers the next step. Clay is a Crossbeam partner.
Apollo Finds and sequences the contacts at each account, so the target list turns into live outreach.

Any one of these is a complete play. Combine more only if the outcome needs it.

What you get together

Turn a partner overlap report into a ranked target list without exporting a CSV.
Filter greenfield accounts down to the ones showing intent, so outbound volume drops and reply rate does not.
Enrich to named, verified contacts before the first touch, not after it bounces.
Hand a ready-to-work list straight to the reps, with the partner angle already attached.

Example prompt

Pull the greenfield accounts from Crossbeam where a partner already sells, with the contact who can introduce us. Use 6sense to rank them by buying stage and enrich the top 20 in Clay.

Bring partner context to a live deal

Someone in your ecosystem already knows this account. Crossbeam names them; the MCP server you run next pulls the record and product signal that turns a cold call into a briefed one.

Crossbeam brings the partner layer. Answers who else in the ecosystem already sells to this account, and what they can tell you about it.

Works with any one of these

Intercom Reads the support and onboarding threads, so you walk in knowing what the account has been dealing with. Can also host Crossbeam’s own MCP server.
Pendo Shows which features the account actually uses, so the conversation rests on adoption rather than a hunch.
Gong Returns the conversation record: what was said on calls and in email, summarised. Crossbeam is already listed in Gong’s MCP directory.
Amplitude Adds the deeper product analytics (funnels, retention, where users drop off) for teams whose signal lives in Amplitude.

Any one of these is a complete play. Combine more only if the outcome needs it.

What you get together

Produce a call-prep brief that includes partner context, not just internal notes.
Answer “who at a partner has worked this account” before the call, rather than in Slack after it.
Ground the pitch in real product usage, so expansion talk is not guesswork.
Spot a competitor mention in the record and check whether a partner can displace them.

Example prompt

Ask Crossbeam who else in the ecosystem sells to [company] and what they can tell us. Pull the Gong conversation record for the account and write it up as a pre-call brief.

Protect and grow the renewal base with partner signal

After the close, a partner inside the account is both a save play and an expansion path. Crossbeam names the partners in your renewal base; the MCP server you run next adds the billing, financial, and health picture to act on it.

Crossbeam brings the partner layer. Names the partners already inside your renewal base, the overlapping accounts, and who at the partner owns the relationship.

Works with any one of these

Stripe Adds live billing and revenue signal, so an expansion case rests on what the account actually pays.
NetSuite Grounds the account in ARR and financials for teams whose system of record is NetSuite.
Gainsight Pulls health scores, open risks and the CSM plan, and writes back CTAs and Success Plans, so partner signal lands on an account that already has a story.
Skilljar Reads onboarding and training progress, so a save play knows whether the customer ever got activated.

Any one of these is a complete play. Combine more only if the outcome needs it.

What you get together

Rank the renewal book by partner overlap, so accounts with a warm partner path surface first.
Build a save play per at-risk account that joins the health score with a named partner contact.
Spot expansion whitespace: accounts where a partner sells a product your customer does not have yet.
Tie a renewal back to partner involvement, because the overlap and the CS record sit in one context.

Example prompt

List the renewal accounts where Crossbeam shows a partner overlap. Add the Gainsight health score and open risks, and flag the at-risk ones with a named partner contact.

Measure what the ecosystem actually produced

Finance wants a number: what partners sourced, influenced, and closed, and what it was worth. Crossbeam supplies the overlap and partner-activity record; the MCP server you run next joins it to revenue and puts it on a slide.

Crossbeam brings the partner layer. Supplies the overlap and partner-activity record the attribution model is built on.

Works with any one of these

Snowflake Runs the query against your revenue data. Snowflake’s managed MCP server is GA, it is a Crossbeam partner, and it can host Crossbeam’s own MCP server.
Databricks Runs the same revenue query for lakehouse teams: managed servers for SQL and natural-language analytics, a Crossbeam partner, and it hosts Crossbeam’s own MCP server.
Tableau Turns the answer into the board slide, built from the warehouse rather than a screenshot.

Any one of these is a complete play. Combine more only if the outcome needs it.

What you get together

Ask for partner-sourced and partner-influenced ARR in plain language and get a number with the query behind it.
Split sourced from influenced without arguing first, because overlap dates sit next to opportunity dates.
Build the board slide from live data, not a stale export.
Check a claim against your own numbers before it goes in a QBR.

Example prompt

Take Crossbeam’s overlap and partner-activity record, then query Snowflake for partner-sourced and partner-influenced ARR this quarter. Show the query.

Your GTM stack is already an AI-ready ecosystem

The tools GTM teams already run ship a first-party MCP server that Crossbeam works with today, and the list grows every week.