Crossbeam+Demandbase

Bring Crossbeam and Demandbase together in your AI tools

Crossbeam surfaces which partners share your accounts and where partner deals are opening and closing. Demandbase adds Intent, engagement, and Buying Group intelligence on those same accounts. One prompt, not two tools.

Run your first AI workflow across both tools

Start with a prompt that brings Crossbeam and Demandbase into the same conversation. Crossbeam brings the full partner picture: overlaps, performance, deal activity. Demandbase brings the account picture: Intent, engagement, Buying Groups, and its global B2B directory.

Account intelligence
CrossbeamPartner

Get the account brief with the partner picture attached

Demandbase produces a consolidated Account Brief: journey stage, engagement, Intent, and company context in one summary. Crossbeam adds which partners share the account, ranked by partner score, plus recent partner deals opened or closed won there.

Example prompt
"Pull the Demandbase Account Brief for [Account], then ask Crossbeam which partners share it, ranked by partner score."
Pipeline generation
CrossbeamPartner

Build a target list where Intent meets partner coverage

Demandbase searches your account database for accounts showing Intent on your keyword sets, filtered by journey stage and engagement. Crossbeam shows which of those accounts are already a partner's customers, so reps know where a partner can help before the first touch.

Example prompt
"Search Demandbase for accounts with rising Intent on [keyword set], then check Crossbeam for which ones are [Partner] customers."
Co-sell execution
CrossbeamPartner

Fill Buying Group gaps with partner-shared contacts

Demandbase reports Buying Group coverage on the account and the personas and buyer roles still missing. Crossbeam surfaces partner-shared contacts there, ranked by role signals like decision maker, economic buyer, and executive sponsor, so you can bring a partner in to cover the gap.

Example prompt
"Check Buying Group coverage for [Account] in Demandbase, then pull partner-shared contacts from Crossbeam for the buyer roles we are missing."
Deal acceleration
CrossbeamPartner

Match a stalled deal with the partner most likely to move it

Demandbase shows where engagement and sales activity have gone quiet on an open opportunity. Crossbeam recommends partners on that account backed by signals like recent wins, long-term relationships, and contacts you are missing.

Example prompt
"Find my open opportunities in Demandbase with low engagement this quarter, then ask Crossbeam which partners have recent wins at those accounts."
Ecosystem building
CrossbeamPartner

Vet suggested partners against firmographic fit

Crossbeam suggests new partners for your ecosystem, with invite links to get started. Demandbase's Company Global Directory profiles each one by industry, employee count, revenue, technologies, and corporate hierarchy, so you can confirm fit before you reach out.

Example prompt
"Ask Crossbeam for suggested new partners, then profile each in Demandbase's Company Global Directory by industry, technologies, and corporate hierarchy."

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
Demandbase

Demandbase

MCP

The account layer: Intent, engagement, Buying Groups, and global B2B intelligence.

  • Search accounts in your Demandbase instance by owner, journey stage, scores, engagement, Intent, and Buying Group coverage
  • Search CRM-known people by name, title, job function, level, and Buying Group membership
  • Query Demandbase's global company and contact directories by industry, location, employee count, revenue, and technologies, including net-new prospects not in your CRM
  • Pull a consolidated Account Brief combining internal and company context for meeting preparation
  • Retrieve tenant-configured reference data: account lists, keyword sets, Buying Groups, personas, and buyer roles

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

Demandbase

in the same prompt

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

Demandbase

. Product names are the property of their owners.