Crossbeam+Atlassian

Bring Crossbeam and Atlassian together in your AI tools

Crossbeam surfaces which partners share your accounts and where partner deals are opening and closing. Atlassian turns that insight into tracked work: Jira work items, Confluence pages, and search across both. One prompt, not two tools.

Run your first AI workflow across both tools

Start with a prompt that brings Crossbeam and Atlassian into the same conversation. Crossbeam brings the full partner picture: overlaps, performance, deal activity. Atlassian brings the tools your team already runs on: Jira work items you can create and update, Confluence pages you can draft and search.

Account intelligence
CrossbeamPartner

Match partner signals with the account docs your team keeps

Crossbeam shows which partners share the account, ranked by partner score, plus recent partner deals opened or closed won there. Atlassian searches Confluence with CQL to pull the account plans, meeting notes, and pages your team has already written.

Example prompt
"Which partners share [Account] in Crossbeam, and what Confluence pages do we have about [Account] in [Space]?"
Co-sell execution
CrossbeamPartner

Draft a co-sell plan page from ranked partner contacts

Crossbeam returns the partner-shared contacts at the account, ranked by role signals like decision maker, economic buyer, and executive sponsor. Atlassian creates the Confluence page, so the co-sell plan lands where your team will actually read it.

Example prompt
"Pull the partner-shared contacts for [Account] from Crossbeam and create a Confluence page in [Space] with a co-sell plan for [Partner]."
Deal acceleration
CrossbeamPartner

Turn partner recommendations into Jira work items

Crossbeam recommends partners on your open deal, backed by signals like recent wins, long-term relationships, and missing contacts. Atlassian creates a Jira work item for each follow-up, assigned and ready to transition through your workflow.

Example prompt
"Ask Crossbeam which partners it recommends on my open deal at [Account], then create a Jira work item in [Project] to engage each one."
Pipeline generation
CrossbeamPartner

Build a partner-sourced target list and track it in Jira

Crossbeam finds the prospects that overlap a partner's customer list, segment by segment. Atlassian logs each target as a Jira work item, so outreach gets an owner, a status, and a place in the board your team already checks.

Example prompt
"Find our prospects that are [Partner] customers in Crossbeam and create Jira work items in [Project] to track outreach for the top ten."
Ecosystem building
CrossbeamPartner

Publish a partner review backed by real deal numbers

Crossbeam reports each partner's overlap counts, open deals, win rate, and attributed revenue. Atlassian drafts the quarterly review as a Confluence page and updates it next quarter, so the partner story lives beside the rest of your team's docs.

Example prompt
"Get [Partner]'s overlap counts, win rate, and attribution from Crossbeam, then draft our quarterly partner review as a Confluence page in [Space]."

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
Atlassian

Atlassian

MCP

Your team's system of work: Jira, Confluence, and JSM behind one official server.

  • Search Jira work items with JQL and Confluence pages with CQL, results returned in the chat
  • Create and edit Jira work items, add comments, log work, and transition issues through your workflow
  • Create and update Confluence pages, including footer and inline comments
  • Read JSM alerts, on-call schedules, and team info, and update alerts
  • OAuth 2.1 by default, so every action respects each user's existing Atlassian 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

Atlassian

in the same prompt

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

Atlassian

. Product names are the property of their owners.