Crossbeam+Redis

Bring Crossbeam and Redis together in your AI tools

Crossbeam surfaces which partners share your accounts and where partner deals are opening and closing. Redis answers with the live application data your team already stores: sessions, events, and usage. One prompt, not two tools.

Run your first AI workflow across both tools

Start with a prompt that brings Crossbeam and Redis into the same conversation. Crossbeam brings the full partner picture: overlaps, performance, deal activity. Redis brings your live application data: the sessions, events, and JSON documents your product already writes.

Account intelligence
CrossbeamPartner

Match partner signals to the data your app keeps live

Crossbeam shows which partners share the account, ranked by partner score, plus recent partner deals opened or closed won there. Redis returns the JSON documents and hashes your application stores on that account: sessions, usage counters, configuration.

Example prompt
"Which partners share [Account] in Crossbeam, and what do the JSON documents under [key pattern] in Redis show about their recent product activity?"
Pipeline generation
CrossbeamPartner

Find overlap prospects and rank them by your own scores

Crossbeam finds the prospects that overlap a partner's customer list, segment by segment. Redis sorted sets hold the activity or fit scores your product computes, so the list comes back ordered by the accounts your own data favors.

Example prompt
"Pull our prospects that are [Partner] customers from Crossbeam, then rank them by their scores in our Redis sorted set [key]."
Deal acceleration
CrossbeamPartner

Check event streams on stalled deals, then loop in a partner

Redis streams carry the activity feed your application writes, so you can ask which open opportunities have gone quiet. Crossbeam recommends partners on those accounts, backed by signals like recent wins, long-term relationships, and missing contacts.

Example prompt
"Read our Redis stream [stream key] for open opportunities with no events this month, then ask Crossbeam which partners have recent wins at those accounts."
Co-sell execution
CrossbeamPartner

Prep a co-sell call with contacts and session history

Crossbeam returns the partner-shared contacts at the account, ranked by role signals like decision maker, economic buyer, and executive sponsor. Redis fills in your side of the story: the session data, recent actions, and JSON records your app holds on that account.

Example prompt
"Before my co-sell call on [Account] with [Partner], pull the partner-shared contacts from Crossbeam and summarize the account's records under [key pattern] in Redis."
Ecosystem building
CrossbeamPartner

Cache a partner snapshot your own tools can serve

Crossbeam reports each partner's overlap counts, open deals, win rate, and attributed revenue. Redis reads and writes, so you can store that snapshot as a JSON document your internal dashboards and apps read directly.

Example prompt
"Get the partner context for [Partner] from Crossbeam and store it as a JSON document at [key] in Redis."

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
Redis

Redis

MCP

Your live application layer: the sessions, events, and documents your product writes to Redis.

  • Read and write strings, hashes, lists, sets, and sorted sets: the session, scoring, and configuration data your app keeps in Redis
  • Store, retrieve, and query JSON documents with path-based access
  • Add to and read streams for event sourcing and activity feeds, with consumer group management
  • Run vector search across managed indexes
  • Connects with Redis ACL, SSL/TLS, or Entra ID auth, in standalone or cluster mode

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

Redis

in the same prompt

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

Redis

. Product names are the property of their owners.