Crossbeam+Power BI

Bring Crossbeam and Power BI together in your AI tools

Crossbeam surfaces which partners share your accounts and where partner deals are opening and closing. Power BI answers with the governed metrics in your semantic models. One prompt, not two tools.

Run your first AI workflow across both tools

Start with a prompt that brings Crossbeam and Power BI into the same conversation. Crossbeam brings the full partner picture: overlaps, performance, deal activity. Power BI brings your governed metrics: the semantic models and reports your company already runs on.

Account intelligence
CrossbeamPartner

Get the governed numbers behind any shared account

Crossbeam shows which partners share the account, ranked by partner score, plus recent partner deals opened and closed won there. Power BI runs a DAX query against your semantic model to return the revenue, usage, or adoption measures your company reports on.

Example prompt
"Which partners share [Account] in Crossbeam, and what does a DAX query against our [semantic model] show for its revenue and adoption measures this year?"
Pipeline generation
CrossbeamPartner

Build a target list scored by your reported metrics

Crossbeam finds the prospects that overlap a partner's customer list, segment by segment. Power BI queries your semantic model to rank that list by the measures your team already trusts, so reps start where your own numbers point.

Example prompt
"Pull our prospects that are [Partner] customers from Crossbeam, then rank them by [measure] with a DAX query against our [semantic model]."
Deal acceleration
CrossbeamPartner

Catch slipping metrics and bring the right partner in

Power BI queries your semantic model for open deals where the measures you track have dropped this quarter. Crossbeam recommends partners on those accounts, backed by signals like recent wins, long-term relationships, and contacts you are missing.

Example prompt
"Run a DAX query on our [semantic model] for open opportunities where [measure] declined this quarter, then ask Crossbeam which partners have recent wins at those accounts."
Ecosystem building
CrossbeamPartner

Check partner attribution against your revenue reporting

Crossbeam reports each partner's overlap counts, open deals, win rate, and attributed revenue. Power BI pulls the revenue measures from the semantic model behind your executive reporting, so you can confirm which partnerships move the number before you invest more.

Example prompt
"List our top 10 partners by attribution in Crossbeam, then query our [semantic model] for reported revenue on those shared accounts."
Co-sell execution
CrossbeamPartner

Prep a co-sell conversation with contacts and metrics

Crossbeam returns the partner-shared contacts at the account, ranked by role signals like decision maker, economic buyer, and executive sponsor. Power BI generates and runs the DAX query that summarizes the account's measures, so you walk in with the same numbers your leadership sees.

Example prompt
"Before my co-sell call on [Account] with [Partner], pull the partner-shared contacts from Crossbeam and summarize the account's measures from our [semantic model]."

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
Power BI

Power BI

MCP

Governed BI on demand: the semantic models and reports your company already runs on.

  • Execute DAX queries against a semantic model, with row-level security enforced for signed-in users
  • Get a semantic model's schema: tables, columns, measures, relationships, and hierarchies
  • Get report metadata: pages, data visuals, filters, and visual bindings for any report
  • Generate optimized DAX queries from a natural language question and the model's schema
  • Fabric-hosted remote server in public preview, Microsoft Entra ID OAuth, nothing to install

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

Power BI

in the same prompt

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

Power BI

. Product names are the property of their owners.