LaunchDarkly Connector
Connect LaunchDarkly to your data stack with Weld. Fully managed pipelines, set up in minutes, ready for your agents.
LaunchDarklyYour warehouseLive
Agent context over MCPSet up in minutes.
No code, no maintenance.
LaunchDarkly
Data source
LaunchDarkly in your warehouse.
Ready for your agents.
Weld's LaunchDarkly connector is fully managed: it extracts data from LaunchDarkly, loads it into your warehouse, and keeps it in sync. The data lands in a clean, documented schema with agent context attached, so analysts can query it with SQL or dbt, and agents can query it over the Weld MCP server without guessing at tables or joins.
LaunchDarkly data schema.
The map your agents read.
Every table, field and relationship Weld syncs from LaunchDarkly is served to agents as context over MCP, so they pick the right tables and join on the right keys.
- tables
- 12
- fields
- 122
- relationships
- 8
LaunchDarkly models.
What the numbers mean.
Open-source SQL that turns the raw LaunchDarkly tables into the reports people ask about. Deploy them in Weld and your agent queries the definitions, not guesses.
- Context activityHow many contexts each environment has seen, and how many were active recently. LaunchDarkly bills client-side usage on monthly active contexts, so the 30-day column is the one to watch against your plan.grain: one row per project x environment x context kind (current state as of the last sync)
- Flag health by projectFlag debt per project: how many flags are live, how many of those are temporary, how many are overdue for cleanup or have nobody responsible for them.grain: one row per project (current state as of the last sync)
- Flag inventoryEvery feature flag with its age, lifecycle state and owner: the flag list in LaunchDarkly, with the columns you need to find flags that should be cleaned up.grain: one row per project x flag key (current state as of the last sync)
Ask your agent.
It already knows LaunchDarkly.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the LaunchDarkly context, finds the tables it needs and queries your warehouse.
- Agent contextLaunchDarkly tables, fields and joins
- QuerySQL against your warehouse
- OperateCheck, rerun and refresh syncs
How many context rows do we have per project? Use our LaunchDarkly data.
Reading the LaunchDarkly context first, so the query uses the right tables and keys.
Load LaunchDarkly into any warehouse.
Set up in minutes, no code.
Everything you need.
To get started.
Set it up in code.
One REST API.
Use the Weld Connect REST API to create LaunchDarkly connections, configure ELT syncs, and manage pipelines entirely through code. Built for embedding, automation, and CI/CD workflows.
▌Common questions.
About connectors.
Put your LaunchDarkly data to work.
Connect LaunchDarkly, pick a warehouse, and your agents can query it today. Free for 14 days, no credit card.
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