Crossbeam+Jira

Bring Crossbeam and Jira together in your AI tools

Crossbeam surfaces which partners share your accounts and where partner deals are moving. Jira answers with the work items behind your roadmap: what engineering has shipped, what is in flight, and what is blocked. One prompt, not two tools.

Learn moreTalk to our team

Run your first AI workflow across both tools

Start with a prompt that brings Crossbeam and Jira into the same conversation. Crossbeam brings the full partner picture: overlaps, performance, deal activity. Jira brings product and engineering ground truth: work items, JQL search, and the status of every integration your team is building.

Account intelligence
CrossbeamPartner

Check integration build status before a partner conversation

Crossbeam shows the partners on an account ranked by partner score, plus recent partner deals opened and closed won there. Jira answers whether the integration work items tied to that partner are shipped, in progress, or blocked, straight from a JQL search.

Example prompt
"Which partners share [Account] in Crossbeam, and what is the status of our [Partner] integration work items in Jira project [Project]?"
Pipeline generation
CrossbeamPartner

Match prospect outreach to what engineering has shipped

Crossbeam finds the prospects that overlap a tech partner's customer list, segment by segment. Jira confirms which of the integrations those prospects would rely on are done versus still in flight, so reps lead with what actually works today.

Example prompt
"Pull our prospects that are [Partner] customers from Crossbeam, then search Jira for work items labeled [integration label] and tell me which are done and which are still open."
Deal acceleration
CrossbeamPartner

Create a work item when an integration gap stalls a deal

Crossbeam recommends partners on an open opportunity, backed by signals like recent wins and long-term relationships. When the deal needs integration work that does not exist yet, Jira can create the work item in the right project with the deal context attached.

Example prompt
"Ask Crossbeam which partners are recommended on my open opportunity at [Account], then create a Jira work item in [Project] requesting the [Partner] integration with that context."
Ecosystem building
CrossbeamPartner

Weigh the integration roadmap against partner performance

Crossbeam reports each partner's overlap counts, open deals, win rate, and attributed revenue. Jira lists the planned integration work items for those partners, so you can point engineering effort at the partnerships your numbers say are working.

Example prompt
"List our top 10 partners by attributed revenue in Crossbeam, then search Jira for open integration work items mentioning each one so we can compare roadmap effort to partner results."
Co-sell execution
CrossbeamPartner

Post partner deal context onto the work item engineering is watching

Crossbeam returns recent ecosystem activity with a partner: deals opened, closed won, and greenfield accounts. Jira adds that context as a comment on the integration work item, so the build team sees the revenue riding on their next release.

Example prompt
"Get recent deal activity with [Partner] from Crossbeam and add a comment summarizing it to Jira work item [Issue key]."

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
Jira

Jira

MCP

Product and engineering ground truth: work items, JQL search, and workflow updates.

  • Search Jira issues with full JQL queries: project, status, label, assignee, or sprint filters
  • Create and edit work items, transition them through workflows, and add comments and worklogs
  • Read work item details, remote links, link types, available transitions, and visible projects
  • One Atlassian-hosted server at mcp.atlassian.com, nothing to install or run yourself
  • OAuth 2.1 or API token auth, always scoped to each user's existing Jira 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.

Claude

Get ecosystem signals and account intelligence right in your Claude conversations.

How to connect →
OpenAI

Mention @Crossbeam in any chat to pull ecosystem signals, account intelligence, and warm intro paths.

How to connect →
Glean

Bring ecosystem signals and partner context into your AI work assistant, right where your team searches.

How to connect →
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.

Gong

Surface partner overlap, shared contacts, and deal activity alongside Gong call intelligence, so reps know who's already in their ecosystem.

How to connect →
n8n

Let your AI agents surface partner overlap, deal activity, and shared contacts, then reason and act on them.

How to connect →
Microsoft Copilot

Surface partner overlap, shared contacts, and deal activity alongside the data your team works with in Microsoft 365.

How to connect →
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

Keep going

More on connecting Crossbeam to the AI tools and GTM systems your team already runs.

Crossbeam MCP overview

What the server exposes, which clients it runs in, and how to connect it.

Go to the MCP page

The AI-Powered Ecosystem Playbook

Real use cases and prompts for running ecosystem data through your agents.

Download

Browse our marketplace

See what else pairs with Crossbeam across the GTM stack.

Browse the marketplace

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

Jira

in the same prompt

Talk to our teamDocumentation

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

Jira

. Product names are the property of their owners.