Crossbeam+Wingify

Bring Crossbeam and Wingify together in your AI tools

Crossbeam surfaces the partners and shared accounts behind your pipeline. Wingify shows what converts: campaign reports, heatmaps, and session recordings. One prompt, not two tools.

Run your first AI workflow across both tools

Start with a prompt that brings Crossbeam and Wingify into the same conversation. Crossbeam brings the full partner picture: overlaps, performance, deal activity. Wingify brings the conversion picture: campaign reports, heatmaps, and session recordings from your own site.

Pipeline generation
CrossbeamPartner

Find shared prospects and build the test that converts them

Crossbeam finds the prospects that overlap a partner's customer list, segment by segment. Wingify creates a new A/B test campaign for the joint landing page from a natural language description, so partner-sourced traffic lands on a page you are actively improving.

Example prompt
"Pull our prospects that are [Partner] customers in Crossbeam, then create a Wingify A/B test for our [Partner] landing page with a variation that leads with the integration."
Ecosystem building
CrossbeamPartner

Check which partner pages convert before you invest more

Crossbeam reports each partner's overlap counts, open deals, win rate, and attributed revenue. Wingify pulls the full campaign report, variations and goals included, for each partner landing page, so you double down where the pipeline and the conversion data agree.

Example prompt
"List our top 10 partners by attribution in Crossbeam, then pull the Wingify campaign report for each partner's landing page and compare goal conversion."
Account intelligence
CrossbeamPartner

Research how buyers behave on your integration pages

Crossbeam shows recent ecosystem activity: partner deals opened, closed won, and greenfield accounts. Wingify analyzes heatmap click and scroll patterns and summarizes session recordings for the integration page those deals came through.

Example prompt
"Show me recent partner deals opened with [Partner] in Crossbeam, then analyze the Wingify heatmap and session recordings for our [Partner] integration page."
Deal acceleration
CrossbeamPartner

Clone a winning campaign for the partner accounts in play

Crossbeam finds the open opportunities you share with a partner, filtered by segment and population. Wingify clones an existing campaign and updates its configuration, so a proven test backs the joint push at those accounts.

Example prompt
"Find the open opportunities we share with [Partner] in Crossbeam, then clone our [Campaign] in Wingify and update it for the [Partner] joint offer."
Co-sell execution
CrossbeamPartner

Launch the joint promotion and know who to engage

Crossbeam returns the partner-shared contacts at each account, ranked by role signals like decision maker, economic buyer, and executive sponsor. Wingify starts the campaign behind the joint promotion and returns its daily performance data when you ask for it.

Example prompt
"Before our co-sell push with [Partner], pull the partner-shared contacts at [Account] from Crossbeam, then start the [Campaign] in Wingify and report its daily data."

What each MCP server does before you pair them

Crossbeam

Crossbeam MCP

Your partner relationships and deal activity.

  • Every account a specific partner has a relationship with, and how strong it is
  • Whether a partner recently opened, closed, or won a deal on an account
  • Contacts a partner has shared, ranked by role: decision maker, economic buyer, executive sponsor, and more
  • Partners who fit your ecosystem based on shared accounts
  • Read-only: nothing here writes back to your CRM or to Crossbeam
Wingify

Wingify

MCP

The experimentation layer: campaign results, heatmaps, and session recordings from your own site.

  • Create A/B test and Split URL test campaigns from a natural language description, or clone an existing campaign
  • Pull full campaign reports with variations and goals, plus daily performance data and campaign list overviews
  • Analyze heatmap click and scroll patterns and summarize session recordings for any page
  • Start, pause, or stop campaigns and update campaign configuration
  • OAuth 2.0 with Dynamic Client Registration, with Global, Europe, and Asia endpoints

Works with your stack

Crossbeam plugs into the AI tools and GTM systems your team already runs: query it from any MCP client, or sync ecosystem data straight into your stack.

Gemini

Bring Crossbeam ecosystem data into Gemini over MCP.

Perplexity

Answer account questions with Crossbeam data in Perplexity.

HubSpot

Enrich HubSpot records with partner overlap and signals.

Sync co-sell overlap onto your Salesforce accounts.

Crossbeam
Slack

Get partner and deal signals delivered in Slack.

Snowflake

Pipe Crossbeam ecosystem data into Snowflake.

Cursor

Pull partner and account context into Cursor.

Mistral

Feed your partner ecosystem graph to Mistral agents.

Connect any MCP-compatible AI tool

Using another AI tool or custom solution that supports MCP connections? Our documentation walks through custom connector setup.

Read documentation

Crossbeam MCP is currently in early access for customers on Supernode and Enterprise plans.

Talk to our team

Frequently asked questions

Crossbeam MCP is in Limited Availability and is enabled by default for customers on Supernode and Enterprise plans. Connect it at mcp.crossbeam.com/mcp using OAuth with your Crossbeam credentials, and SAML SSO is supported. Not on one of those plans? Talk to our team.
There are native connectors for Claude, ChatGPT, and Glean, plus documented setups for Gong Agent Studio and custom connections like n8n, Microsoft Copilot, and LibreChat. Claude, ChatGPT, and Glean also support the partner tool's connector, so both servers run in one chat with no bridging work.
No. Crossbeam MCP is read-only: it reads ecosystem intelligence and returns it to your AI client. It can generate a shareable list link so you can jump into the UI, but no documented tool changes data in Crossbeam.
Use MCP when a person or an agent is asking questions in natural language and needs ecosystem context in the moment. Use the REST API for programmatic reads on your own schedule, and Webhooks when you want Crossbeam to push events to you as they happen. Most teams end up using more than one.
Your overlaps with one partner or across the whole ecosystem, a unified view of a single account with population membership and owner, partner health metrics like overlap counts, open deals, win rate and recency, ranked partner recommendations on an open opportunity, and recent ecosystem activity including partner deals opened, closed won, and greenfield signals. Access is scoped to your own Crossbeam permissions.
No. In supported clients it's a connector plus an OAuth login, with no code, no API keys, and no local install. The partner tool is added the same way, from your client's connector settings.
AI Chat lives inside Crossbeam and answers questions about your ecosystem there. MCP brings that same intelligence into the AI tool you already work in, alongside your other connectors. That's what makes pairings like this one possible in a single prompt.

Run Crossbeam and

Wingify

in the same prompt

Crossbeam MCP is currently in early access for customers on Supernode and Enterprise plans. Crossbeam is not affiliated with

Wingify

. Product names are the property of their owners.