Crossbeam+GitHub

Bring Crossbeam and GitHub together in your AI tools

Crossbeam surfaces which partners share your accounts and how each partnership performs. GitHub shows the issues, pull requests, and commits behind the integrations those partnerships run on. One prompt, not two tools.

Run your first AI workflow across both tools

Start with a prompt that brings Crossbeam and GitHub into the same conversation. Crossbeam brings the full partner picture: overlaps, performance, deal activity. GitHub brings the engineering reality: issues, pull requests, and commit history on the repositories behind your integrations.

Ecosystem building
CrossbeamPartner

Check whether an integration is earning its partnership

Crossbeam reports the partner's overlap counts, win rate, open deals, and attributed revenue. GitHub searches the open issues and pull requests on the integration repository, so you weigh partnership performance against the state of the code that powers it.

Example prompt
"Pull [Partner]'s partner score, win rate, and attributed revenue from Crossbeam, then search open issues and pull requests on [org/integration-repo] to see how the integration is holding up."
Account intelligence
CrossbeamPartner

Research integration issues before the account call

Crossbeam shows which partners share the account and what your org is sharing with each of them. GitHub searches issues on the integration repository for the feature the customer depends on, so you walk in knowing what is broken and what shipped.

Example prompt
"Show me which partners share [Account] in Crossbeam and our sharing status with [Partner], then search [org/integration-repo] for open issues mentioning [feature]."
Deal acceleration
CrossbeamPartner

Confirm the fix merged, then bring the partner in

GitHub reads the pull request's status, reviews, and check runs to confirm the fix a stalled deal was waiting on has merged. Crossbeam recommends partners on that opportunity with signals like recent wins and long-term relationships, so you restart the deal with backup.

Example prompt
"Check whether the pull request fixing [issue] in [org/integration-repo] has merged, then ask Crossbeam which recommended partners on the [Account] opportunity have recent wins."
Co-sell execution
CrossbeamPartner

Create the issue and engage the right partner contacts

GitHub creates the issue on the shared integration repository and adds your comments as the thread develops. Crossbeam surfaces the partner-shared contacts at the account, ranked by role signals like decision maker and technical buyer, so the report reaches people who can act.

Example prompt
"Create an issue on [org/integration-repo] describing [bug], then pull the partner-shared contacts for [Partner] at [Account] from Crossbeam so I can flag it to their team."
Pipeline generation
CrossbeamPartner

Build a prospect list around integrations that actually ship

Crossbeam finds the prospects that overlap a tech partner's customer list, segment by segment. GitHub lists recent commits and releases on the integration repository, so you pitch joint value on integrations that are live and maintained, not abandoned.

Example prompt
"Find our prospects that are [Partner] customers in Crossbeam, then check recent commits and releases on [org/integration-repo] to confirm the integration is actively maintained."

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
GitHub

GitHub

MCP

The engineering layer: issues, pull requests, and repository activity behind your integrations.

  • Search issues and pull requests across repositories by open-ended criteria, or list them for a specific repository
  • Read a pull request's status, diff, reviews, and check runs to confirm whether a fix has merged
  • Create and update issues, add comments, and open pull requests; a /readonly endpoint variant blocks all writes
  • Browse repository activity: commits, branches, releases, and file contents, plus code search
  • Hosted remote server, generally available, with OAuth or personal access token auth

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

GitHub

in the same prompt

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

GitHub

. Product names are the property of their owners.