Crossbeam+JetBrains

Bring Crossbeam and JetBrains together in your AI tools

Crossbeam surfaces which partners share your accounts and where partner deals are opening and closing. The JetBrains MCP server puts your IDE to work on the integration code behind those partnerships: search, inspections, builds. 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 JetBrains into the same conversation. Crossbeam brings the full partner picture: overlaps, performance, deal activity. JetBrains brings your IDE's view of the code: project search, inspections, builds, and run configurations.

Ecosystem building
CrossbeamPartner

Prioritize the next partner integration your team builds

Crossbeam ranks partners by overlap counts, open deals, potential revenue, and attributed revenue. JetBrains lists your project's modules and dependencies, so you can see how much of an integration already exists before committing engineering time.

Example prompt
"List our top partners by attributed revenue in Crossbeam, then check our project's modules and dependencies in JetBrains for existing connectors to those platforms."
Account intelligence
CrossbeamPartner

Scope the integration work behind a shared account

Crossbeam shows which partners share the account, ranked by partner score, and whether the partnership is active. JetBrains searches your project by glob, regex, or symbol to surface the integration code you already have for that partner.

Example prompt
"Which partners share [Account] in Crossbeam, and search our project in JetBrains for existing integration code for [Partner]."
Deal acceleration
CrossbeamPartner

Fix the connector issues sitting under an open deal

Crossbeam finds the open opportunities you share with a partner, segment by segment. JetBrains runs inspections on the connector code and reports the problems, so the technical fix ships before the deal stalls on it.

Example prompt
"Pull our open opportunities shared with [Partner] from Crossbeam, then run inspections on our [Partner] connector module in JetBrains and list the problems."
Co-sell execution
CrossbeamPartner

Confirm integration status before a joint technical call

Crossbeam surfaces partner-shared contacts at the account, ranked by role signals like technical buyer and decision maker. JetBrains builds the project and reports errors, so you walk into the call knowing exactly where the joint integration stands.

Example prompt
"Before my technical call on [Account] with [Partner], pull the technical buyer contacts from Crossbeam and build our integration project in JetBrains to check for errors."
Pipeline generation
CrossbeamPartner

Turn shipped connectors into a prospect list

JetBrains searches your codebase to confirm which partner connectors your product already ships. Crossbeam finds the prospects on those partners' customer lists, so reps lead with an integration that already works.

Example prompt
"Search our repo in JetBrains for shipped partner connectors, then pull our prospects that are customers of those partners from Crossbeam."

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
JetBrains

JetBrains

MCP

Your IDE's toolbox: project search, inspections, builds, and code changes on the code your team ships.

  • Search the open project by glob pattern, substring, regex, or semantic symbol lookup
  • Run inspections and lint files to surface coding problems, and build the project to report errors
  • Read files, apply unified diff patches, reformat code, and rename symbols with context-aware refactoring
  • Execute run configurations and terminal commands, with user confirmation required by default
  • Bundled and enabled by default in JetBrains IDEs since 2025.2, connecting over stdio, SSE, or HTTP stream

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

JetBrains

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

JetBrains

. Product names are the property of their owners.