LaunchDarkly Connector

Connect LaunchDarkly to your data stack with Weld. Fully managed pipelines, set up in minutes, ready for your agents.

4.8 on G2
Weld · Data Sources
LaunchDarklyLive
projectSynced
feature_flagSynced
segmentSynced
contextSyncing
context_attributeQueued
Lands insnowflakebigquerydatabricksAgent context over MCP
How it works

Set up in minutes.
No code, no maintenance.

LaunchDarkly

LaunchDarkly

Data source

Authenticating...
Ready to connect
Overview

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.

AgentsQuery over MCPYour warehouse12 tables, with agent contextWeldExtract, load, keep in syncLaunchDarklySource
Agent context

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
Open the schema explorer
Open the full schema explorer
Weld MCP server

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
Claude CodeOpus 5
>

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.

●weld·search_available_references
⎿raw.launchdarkly.context
raw.launchdarkly.project
+ 10 more LaunchDarkly tables
●weld·get_reference_schema
⎿context · 8 columns
joins project on project_id
●weld·run_query
⎿select p.id, count(*) from {{raw.launchdarkly.context}} c
join {{raw.launchdarkly.project}} p on c.project_id = p.id
group by 1
submitted
●weld·get_query_status
⎿DONE
●weld·get_query_result
⎿rows returned
✓Answered from LaunchDarkly data in your warehouse
>Ask about your LaunchDarkly data
Weld Connect API

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.

POST/elt_syncs
▌
FAQ

Common questions.
About connectors.

Something not covered here? A data engineer can walk through your setup with you.

Talk to us

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.

LaunchDarklySource
WeldWeld
MCPAgents