Crossbeam+Sentry

Bring Crossbeam and Sentry together in your AI tools

Crossbeam surfaces which partners share an account and where partner deals are in motion. Sentry shows whether the product behind those accounts is healthy: issues, errors, and root cause analysis. One prompt, not two tools.

Run your first AI workflow across both tools

Start with a prompt that brings Crossbeam and Sentry into the same conversation. Crossbeam brings the full partner picture: overlaps, performance, deal activity. Sentry brings the technical ground truth: the issues, errors, and root cause analysis behind the accounts and integrations you sell with partners.

Account intelligence
CrossbeamPartner

Get the technical health read on a shared account

Crossbeam shows which partners share the account, ranked by partner score, plus recent partner deals opened or closed won there. Sentry answers whether the product experience is holding up, with unresolved issues and error events you can filter by project and tag.

Example prompt
"Which partners share [Account] in Crossbeam, and are there unresolved Sentry issues in [project] tagged to that customer this month?"
Deal acceleration
CrossbeamPartner

Check integration stability before pushing a partner deal

Crossbeam recommends partners on an open opportunity, backed by signals like recent wins and long-term relationships. Sentry runs search queries and aggregations across error events in the integration's project, so you know the joint story holds before you lean on it.

Example prompt
"Ask Crossbeam which partners are recommended on our open opportunity with [Account], then search Sentry for errors in [integration project] over the last 30 days."
Co-sell execution
CrossbeamPartner

Research the root cause before you bring a partner in

Sentry's Seer analysis returns a root cause and fix suggestion for the issue a shared customer is hitting. Crossbeam identifies which partners share that account and the partner-shared contacts there, ranked by role signals like technical buyer and primary contact, so the fix conversation reaches the right people.

Example prompt
"Run Seer root cause analysis on Sentry issue [issue ID], then find the partner-shared technical contacts at [Account] in Crossbeam."
Ecosystem building
CrossbeamPartner

Find the partnerships behind your noisiest integrations

Sentry breaks down issue volume and tag value distributions across the projects that power your partner integrations. Crossbeam adds each partner's overlap counts, win rate, and attributed revenue, so you can weigh reliability work against what the partnership is worth.

Example prompt
"Search Sentry for the projects with the most unresolved issues this quarter, then pull Crossbeam's partner context for the partners behind those integrations."
Deal acceleration
CrossbeamPartner

Assign the blocker so the partner deal keeps moving

Crossbeam surfaces the open partner deals at the account and the contacts partners share there. Sentry lets you update the issue's status or assignment in the same conversation, so the bug blocking a co-sell has an owner before the next partner call.

Example prompt
"Show open partner deals at [Account] in Crossbeam, then assign Sentry issue [issue ID] to [teammate] and mark it in progress."

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
Sentry

Sentry

MCP

The technical ground truth: issues, errors, and root cause analysis from your production apps.

  • Search issues and events with open-ended queries and aggregations across any project your account can access
  • Run Seer analysis on an issue for an AI-generated root cause and fix suggestion
  • Pull issue details, tag value distributions, releases, and replay summaries for context on what users hit
  • Update an issue's status or assignment, and create projects, teams, and DSNs
  • OAuth to your Sentry organization, hosted at mcp.sentry.dev

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

Sentry

in the same prompt

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

Sentry

. Product names are the property of their owners.