Crossbeam+GitBook

Bring Crossbeam and GitBook together in your AI tools

Crossbeam surfaces which partners share your accounts and where partner deals are opening and closing. GitBook answers product and integration questions straight from any published docs site. One prompt, not two tools.

Run your first AI workflow across both tools

Start with a prompt that brings Crossbeam and GitBook into the same conversation. Crossbeam brings the full partner picture: overlaps, performance, deal activity. GitBook brings the published documentation behind every product question that comes up in joint work.

Account intelligence
CrossbeamPartner

Get the partner picture and the product answer in one pass

Crossbeam shows which partners share the account, ranked by partner score, with recent partner deals opened or closed won there. GitBook answers the product questions that follow, straight from the partner's published docs site.

Example prompt
"Which partners share [Account] in Crossbeam, and what does [Partner]'s docs site say about how their [feature] works?"
Co-sell execution
CrossbeamPartner

Prep a co-sell call with contacts and setup steps

Crossbeam returns the partner-shared contacts at the account, ranked by role signals like decision maker and economic buyer. GitBook pulls the setup steps and requirements for the joint integration from the partner's published docs.

Example prompt
"Before my co-sell call on [Account] with [Partner], pull the partner-shared contacts from Crossbeam and summarize the [integration] setup steps from [Partner]'s docs site."
Deal acceleration
CrossbeamPartner

Match a technical question to a partner and its docs

Crossbeam recommends partners on an open opportunity, backed by signals like recent wins and long-term relationships. GitBook checks each recommended partner's published docs for the technical requirement holding the deal up.

Example prompt
"Ask Crossbeam which partners it recommends on my open deal at [Account], then check each one's docs site for [requirement] support."
Ecosystem building
CrossbeamPartner

Research a prospective partner before you invest

Crossbeam suggests new partners from Partnerbase data and reports overlap counts, win rates, and attributed revenue for existing ones. GitBook reads a candidate's published docs so you can judge the integration surface before committing.

Example prompt
"Get Crossbeam's partner suggestions for us, then summarize what [Partner]'s published docs cover on APIs and integrations."
Pipeline generation
CrossbeamPartner

Build outreach that describes the joint solution correctly

Crossbeam finds the prospects that overlap a partner's customer list, segment by segment. GitBook confirms how the joint integration actually works from the partner's published docs, so outreach gets the details right.

Example prompt
"Pull our prospects that are [Partner] customers from Crossbeam, then check [Partner]'s docs site for how the [integration] works so I can reference it in outreach."

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
GitBook

GitBook

MCP

The docs layer: answers pulled straight from any published GitBook docs site.

  • Ask questions against any published GitBook docs site through its built-in MCP endpoint, no separate server to stand up
  • Answers come from the live published version, the same content customers and partners see
  • Public docs sites connect with no auth; authenticated sites sign in through OAuth with the site's existing identity provider
  • Available on every published GitBook site whenever the site's page actions are enabled

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

GitBook

in the same prompt

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

GitBook

. Product names are the property of their owners.