Crossbeam+Elasticsearch

Bring Crossbeam and Elasticsearch together in your AI tools

Crossbeam surfaces which partners share your accounts and where partner deals are opening and closing. Elasticsearch answers from the business data your team already indexes: support tickets, usage events, product logs. 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 Elasticsearch into the same conversation. Crossbeam brings the full partner picture: overlaps, performance, deal activity. Elasticsearch brings your own indices: the tickets, usage events, and product data your team already searches.

Account intelligence
CrossbeamPartner

Research a shared account across your own indices

Crossbeam shows which partners share the account, ranked by partner score, and recent partner deals opened or closed won there. Elasticsearch searches the indices where your team keeps tickets, usage events, and product data for everything on that account.

Example prompt
"Which partners share [Account] in Crossbeam, and what does a search of our [index] show for [Account] over the last quarter?"
Pipeline generation
CrossbeamPartner

Build a target list ranked by your indexed data

Crossbeam finds the prospects that overlap a partner's customer list, segment by segment. Elasticsearch runs an ES|QL query to rank that list by the activity in your own indices, so reps start where your data shows real signal.

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

Catch ticket spikes and bring the right partner in

Elasticsearch searches your support ticket index for the open deals generating the most tickets this month. Crossbeam recommends partners on those accounts with recent wins, long-term relationships, or contacts you are missing.

Example prompt
"Search our [support index] for open opportunities with the most tickets this month, then ask Crossbeam which partners have recent wins at those accounts."
Ecosystem building
CrossbeamPartner

Check which partners cover your busiest accounts

Elasticsearch aggregates your indexed usage events to surface your most active accounts. Crossbeam ranks the partners on each one by partner score, win rate, and attributed revenue, so you invest in the partnerships that touch the accounts that matter.

Example prompt
"Run an ES|QL query on our [index] for our top 20 accounts by [metric], then ask Crossbeam which partners share them and how they rank by partner score."
Co-sell execution
CrossbeamPartner

Prep a co-sell call with contacts and account history

Crossbeam returns the partner-shared contacts at the account, ranked by role signals like decision maker, economic buyer, and executive sponsor. Elasticsearch pulls the account's trail from your indices: what they used, asked about, and ran into.

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

Elasticsearch

MCP

Your own search layer: the business data your team already indexes, answerable in plain language.

  • Search any index with full Elasticsearch query DSL, results returned in the chat
  • Run ES|QL queries for aggregations and analytics across your indexed data
  • List indices and pull field mappings to find the right data source fast
  • Connects over stdio or streamable HTTP, authenticated with an Elasticsearch API key or username and password
  • Works with Elasticsearch 8.x and 9.x clusters

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

Elasticsearch

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

Elasticsearch

. Product names are the property of their owners.