Crossbeam+GitLab

Bring Crossbeam and GitLab together in your AI tools

Crossbeam surfaces which partners share your accounts and which partnerships your revenue depends on. GitLab shows the issues, merge requests, and pipelines where the integration work behind those partnerships gets built. One prompt, not two tools.

Run your first AI workflow across both tools

Start with a prompt that brings Crossbeam and GitLab into the same conversation. Crossbeam brings the full partner picture: overlaps, performance, deal activity. GitLab brings the build work: the issues, merge requests, and pipelines behind every partner integration.

Account intelligence
CrossbeamPartner

Check a partnership's numbers against its integration build

Crossbeam reports the partner's overlap counts, open deals, win rate, and attributed revenue. GitLab searches your instance for the integration project's open issues and merge requests, so you see whether the build work matches what the partnership is worth.

Example prompt
"Pull [Partner]'s overlap counts, open deals, and attributed revenue from Crossbeam, then search GitLab for open issues and merge requests in our [Partner] integration project."
Ecosystem building
CrossbeamPartner

Pick the next integration to build, then open the issue

Crossbeam ranks your technology partners by overlapping customers, partner score, and attributed revenue, so the roadmap follows the ecosystem data. GitLab creates the issue in your integrations project to scope the winner.

Example prompt
"Rank our technology partners by customer overlaps and attributed revenue in Crossbeam, then create a GitLab issue in [project] scoping an integration with the top partner."
Deal acceleration
CrossbeamPartner

Confirm the integration a deal depends on is shipping

Crossbeam finds the open opportunities you share with the partner whose integration is on the line. GitLab pulls the merge request's commits, diffs, and pipelines, so the deal team quotes real build status instead of a guess.

Example prompt
"Show the open opportunities we share with [Partner] in Crossbeam, then get the merge request and pipeline status for the [Partner] integration in GitLab."
Co-sell execution
CrossbeamPartner

Prep a co-sell call with the right people and the build history

Crossbeam returns the partner-shared contacts at the account, ranked by role signals like decision maker, economic buyer, and executive sponsor. GitLab lists the integration project's wiki pages and work item comments, so you walk in knowing what shipped and what is still open.

Example prompt
"Before my co-sell call on [Account] with [Partner], pull the partner-shared contacts from Crossbeam and list the wiki pages for our [Partner] integration project in GitLab."
Pipeline generation
CrossbeamPartner

Find the prospects a partner shares, then file the gaps they hit

Crossbeam pulls the prospects that overlap a partner's customer list, segment by segment. GitLab searches for open issues on that partner's integration and files new ones, so the features blocking those prospects get on the backlog.

Example prompt
"Pull our prospects that are [Partner] customers from Crossbeam, then search GitLab for open issues on the [Partner] integration and create one for [missing feature]."

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
GitLab

GitLab

MCP

The build layer: issues, merge requests, and pipelines behind your partner integrations.

  • Search issues, merge requests, labels, and code across your entire GitLab instance
  • Get merge request detail: commits, diffs, pipelines, and comments
  • Create issues and merge requests, and add comments to merge requests and work items
  • Manage CI/CD pipelines and read job logs to check build status
  • List the wiki pages in a project or group for integration docs

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

GitLab

in the same prompt

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

GitLab

. Product names are the property of their owners.