Crossbeam+IBM

Bring Crossbeam and IBM together in your AI tools

Crossbeam surfaces which partners share your accounts and where partner deals are opening and closing. IBM watsonx.data answers with SELECT queries against the lakehouse data your company already stores. One prompt, not two tools.

Run your first AI workflow across both tools

Start with a prompt that brings Crossbeam and IBM watsonx.data into the same conversation. Crossbeam brings the full partner picture: overlaps, performance, deal activity. watsonx.data brings your lakehouse: the revenue, usage, and account tables your data team already maintains.

Account intelligence
CrossbeamPartner

Get partner context and lakehouse history on one account

Crossbeam shows which partners share the account, ranked by partner score, plus recent partner deals opened or closed won there. watsonx.data runs SELECT queries against the tables your team keeps on that account: revenue, usage, support volume.

Example prompt
"Which partners share [Account] in Crossbeam, and what do our watsonx.data tables in [schema] show for their revenue and usage this year?"
Pipeline generation
CrossbeamPartner

Build a partner-sourced target list ranked by your own tables

Crossbeam finds the prospects that overlap a partner's customer list, segment by segment. watsonx.data queries the fit and intent tables in your lakehouse to rank that list, so reps start with the accounts your own data favors.

Example prompt
"Pull our prospects that are [Partner] customers from Crossbeam, then rank them by [metric] from the [table] in our watsonx.data lakehouse."
Deal acceleration
CrossbeamPartner

Catch quiet accounts and bring a partner in to help

watsonx.data queries your usage tables for open opportunities where activity has dropped. Crossbeam recommends partners on those accounts, backed by signals like recent wins, long-term relationships, and contacts you are missing.

Example prompt
"Query our watsonx.data usage tables for open opportunities with declining activity this quarter, then ask Crossbeam which partners have recent wins at those accounts."
Ecosystem building
CrossbeamPartner

Confirm partner attribution against revenue in your lakehouse

Crossbeam reports each partner's overlap counts, open deals, win rate, and attributed revenue. watsonx.data holds the booked revenue tables on your side, so you can check which partnerships actually move the number before you invest more.

Example prompt
"List our top 10 partners by attribution in Crossbeam, then compare against closed revenue for those shared accounts in our watsonx.data [schema]."
Co-sell execution
CrossbeamPartner

Research an account before the co-sell conversation

Crossbeam returns the partner-shared contacts at the account, ranked by role signals like decision maker, economic buyer, and executive sponsor. watsonx.data fills in your side: what the account has bought, used, and paid for, straight from your lakehouse tables.

Example prompt
"Before my co-sell call on [Account] with [Partner], pull the partner-shared contacts from Crossbeam and summarize our account history from watsonx.data."

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
IBM

IBM

MCP

Your lakehouse: the enterprise revenue, usage, and account tables your data team already maintains.

  • Run SELECT queries against lakehouse tables and get results back in the chat
  • List engines, schemas, and tables to find the right data source fast
  • Describe any table's structure before querying it
  • Verify instance connectivity and discover the query engines available to you
  • Authenticates with IBM Cloud IAM, so access follows your existing watsonx.data permissions

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

IBM

in the same prompt

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

IBM

. Product names are the property of their owners.