Crossbeam+LaunchDarkly

Bring Crossbeam and LaunchDarkly together in your AI tools

Crossbeam surfaces which partners share your accounts and where partner deals are moving. LaunchDarkly shows where every feature rollout stands: flag status, targeting, and the errors behind it. One prompt, not two tools.

Run your first AI workflow across both tools

Start with a prompt that brings Crossbeam and LaunchDarkly into the same conversation. Crossbeam brings the full partner picture: overlaps, performance, deal activity. LaunchDarkly brings rollout truth: flag status, targeting, and the observability data behind your launches.

Co-sell execution
CrossbeamPartner

Confirm a joint integration is live before the co-sell call

Crossbeam returns the partner-shared contacts at the account, ranked by role signals like decision maker, economic buyer, and executive sponsor. LaunchDarkly reports the integration flag's status and targeting across environments, so you walk in knowing exactly what the customer can see.

Example prompt
"Before my co-sell call on [Account] with [Partner], pull the partner-shared contacts from Crossbeam and check the status and targeting of our [integration] flag in LaunchDarkly."
Pipeline generation
CrossbeamPartner

Build a beta rollout list from a partner's customer base

Crossbeam finds the customers you share with a partner, segment by segment, so a joint integration beta starts with accounts both sides already serve. LaunchDarkly updates the flag's targeting to put those accounts in the rollout.

Example prompt
"Find our customers that are also [Partner] customers in Crossbeam, then update the targeting on our [integration] flag in LaunchDarkly to include [Account]."
Deal acceleration
CrossbeamPartner

Catch integration errors and engage the partner who can fix them

LaunchDarkly's observability tools query the errors, logs, and traces behind a shaky integration rollout. Crossbeam shows whether the partnership is active, what you share with that partner on the account, and which contacts to bring in.

Example prompt
"Query LaunchDarkly observability for errors on our [integration] since launch, then ask Crossbeam what we share with [Partner] on [Account] and who the key contacts are."
Ecosystem building
CrossbeamPartner

Check removal readiness before sunsetting a partner integration

LaunchDarkly's flag removal readiness check classifies the integration flag as safe, caution, or not ready across environments. Crossbeam reports that partner's overlap counts, open deals, and attributed revenue, so you know what the partnership is worth before you pull the flag.

Example prompt
"Run removal readiness on the [integration] flag in LaunchDarkly, then pull [Partner]'s overlap counts, open deals, and attributed revenue from Crossbeam before we sunset it."
Account intelligence
CrossbeamPartner

Get the rollout history alongside the partner picture on an account

Crossbeam shows which partners share the account, ranked by partner score, plus recent partner deals opened and closed won there. LaunchDarkly's audit log lists every change to the flags behind the features that account depends on.

Example prompt
"Which partners share [Account] in Crossbeam, and what does the LaunchDarkly audit log show for changes to our [integration] flag this quarter?"

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
LaunchDarkly

LaunchDarkly

MCP

The rollout layer: feature flags, AgentControl configs, and the observability behind your launches.

  • List, create, and update feature flags, and check a flag's status across environments
  • Manage AgentControl configs and their variations, including targeting
  • Query observability data: logs, traces, errors, and dashboards
  • Read audit log entries, list environments, and list code reference repositories
  • Hosted server with OAuth at mcp.launchdarkly.com; federal and EU instances use the local server instead

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

LaunchDarkly

in the same prompt

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

LaunchDarkly

. Product names are the property of their owners.