Crossbeam+Kibana

Bring Crossbeam and Kibana together in your AI tools

Crossbeam surfaces which partners share your accounts and where partner deals are opening and closing. Kibana's Agent Builder queries the business and product data your team already indexes in Elastic. 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 Kibana into the same conversation. Crossbeam brings the full partner picture: overlaps, performance, deal activity. Kibana's Agent Builder brings your own indices: the product usage, logs, and business data your team already keeps in Elastic.

Account intelligence
CrossbeamPartner

Pull partner signals and your indexed account history together

Crossbeam shows which partners share the account, ranked by partner score, plus recent partner deals opened or closed won there. Agent Builder runs an ES|QL query over the indices where your team stores that account's product usage, logs, or support events.

Example prompt
"Which partners share [Account], and what does an ES|QL query over our [index] show for their product usage this quarter?"
Pipeline generation
CrossbeamPartner

Rank partner-sourced prospects by your own usage data

Crossbeam finds the prospects that overlap a partner's customer list, segment by segment. Agent Builder ranks that list with an ES|QL query against the usage or trial data indexed in Elastic, so reps start where your own numbers point.

Example prompt
"Pull our prospects that are [Partner] customers from Crossbeam, then rank them by [metric] from our [index] with ES|QL."
Deal acceleration
CrossbeamPartner

Catch quiet accounts in your data and bring a partner in

Agent Builder queries your indexed product data for open deals where activity has dropped. Crossbeam recommends partners on those accounts, backed by signals like recent wins, long-term relationships, and missing contacts.

Example prompt
"Run an ES|QL query on our [index] for open opportunities with declining activity this month, then ask Crossbeam which partners have recent wins at those accounts."
Ecosystem building
CrossbeamPartner

Check partner attribution against the numbers in your indices

Crossbeam reports each partner's overlap counts, win rate, deal size, and attributed revenue. Agent Builder answers with the business data in your indices and can create a visualization of the comparison from a plain-language description.

Example prompt
"List our top 10 partners by attribution in Crossbeam, compare against revenue for those shared accounts in our [index], and create a visualization of the result."
Co-sell execution
CrossbeamPartner

Prep a co-sell conversation with contacts and product history

Crossbeam returns the partner-shared contacts at the account, ranked by role signals like decision maker, economic buyer, and executive sponsor. Agent Builder searches your indices in natural language for the account's recent product usage and support history.

Example prompt
"Before my co-sell call on [Account] with [Partner], pull the partner-shared contacts from Crossbeam and search our [index] for their recent product activity."

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
Kibana

Kibana

MCP

Your own indices: the product usage, logs, and business data your team keeps in Elastic.

  • Run ES|QL queries against any index your API key can access, with tabular results returned in the chat
  • Search your indexed data in natural language, and explore which indices hold the data you need
  • Expose the custom Agent Builder tools your team builds, like semantic search over specific indices
  • Create visualizations from a plain-language description of what you want to see
  • Served from your Kibana deployment (9.0+) at api/agent_builder/mcp, authenticated with an API key

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

Kibana

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

Kibana

. Product names are the property of their owners.