Crossbeam+Contentful

Bring Crossbeam and Contentful together in your AI tools

Crossbeam surfaces which partners share your accounts and where partner deals are closing. Contentful turns those wins into entries your team can draft, publish, and reuse. One prompt, not two tools.

Run your first AI workflow across both tools

Start with a prompt that brings Crossbeam and Contentful into the same conversation. Crossbeam brings the full partner picture: overlaps, performance, deal activity. Contentful brings your content engine: the entries, assets, and publishing workflows behind every joint story you ship.

Ecosystem building
CrossbeamPartner

Draft joint case studies from real partner wins

Crossbeam shows recent partner deals closed won across your ecosystem, with contact context from the partner's CRM. Contentful creates the case study entry on the spot, ready for your team to review and publish.

Example prompt
"Show me recent closed won deals with [Partner] in Crossbeam, then create a draft joint case study entry in Contentful for the strongest win."
Pipeline generation
CrossbeamPartner

Find the proof content for a partner-sourced push

Crossbeam finds the prospects that overlap a partner's customer list, segment by segment. Contentful's semantic search pulls the entries that speak to that audience, so reps go out with the list and the proof together.

Example prompt
"Pull our prospects that are [Partner] customers in Crossbeam, then use semantic search in Contentful to find case study entries relevant to that audience."
Ecosystem building
CrossbeamPartner

Match your content library to your top partners

Crossbeam ranks your partners by partner score, win rate, and attributed revenue. Contentful searches and filters your entries by partner name, so you can see which high-performing partnerships still have no joint content and fix the gap.

Example prompt
"List our top 10 partners by attribution in Crossbeam, then search Contentful entries for each one and tell me which partners have no published joint content."
Deal acceleration
CrossbeamPartner

Get the right story behind a recommended partner play

Crossbeam recommends partners on an open opportunity, backed by signals like recent wins and long-term relationships. Contentful surfaces the published entries featuring that partner, so the rep can bring the partner in with proof in hand.

Example prompt
"Ask Crossbeam which partners it recommends on my open opportunity with [Account], then find published Contentful entries featuring the top recommendation."
Co-sell execution
CrossbeamPartner

Build a co-branded page for the accounts you share

Crossbeam returns the shared customer list and the partner-shared contacts, ranked by role signals like decision maker and economic buyer. Contentful creates and publishes the landing page entry, with the assets it needs uploaded alongside.

Example prompt
"Pull the customers we share with [Partner] from Crossbeam, then create a co-branded landing page entry in Contentful targeting that segment."

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
Contentful

Contentful

MCP

Your content engine: entries, assets, and publishing behind every joint story you ship.

  • Search and filter entries, or find them by meaning with semantic search
  • Create, update, and publish entries, single or bulk
  • Upload, organize, and publish assets alongside the entries that use them
  • Invoke AI Actions to run AI-powered content workflows on demand
  • OAuth sign-in, with read-only or read/write access set per environment by your admin

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

Contentful

in the same prompt

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

Contentful

. Product names are the property of their owners.