Data agent for Claude MCP, Codex MCP, CLI, and Slack

The brain for relational databases

Generate fully context-aware SQL queries, analyze query workloads in real-time, and help both engineers and business teams ask from Claude, Codex, CLI, or Slack.

Explore Features

100%

Context-Aware

24/7

Workload Analysis

Real-Time

Workload Tracking

Schema Intelligence

Tables mapped

188

2,431 columns

Relations inferred

642

beyond foreign keys

Schema Analysis

188 tables, 2,431 columns, 94 enums

Relations from query logs

391 joins learned from 18.7M queries

Relations from application code

251 model and repository joins mapped

Business Context

73 metrics, 45 rules, 31 naming patterns

prod_db - deepsql cli

Terminal

$ deepsql ask "Find the query behind checkout latency spikes and propose the safest index fix" --connection prod_db

DeepSQL response

Checkout latency is driven by orders_write_path. The slowest query scans orders by workspace_id and sorts on updated_at for every checkout retry.

p95 latency

1.8s

Rows scanned

842k

Expected p95

220ms

Index recommendation

CREATE INDEX CONCURRENTLY idx_orders_workspace_updated_at
ON orders (workspace_id, updated_at DESC)
INCLUDE (status, total_amount);

Use this first because it matches the filter and sort path without changing checkout code. Run during low traffic, then compare p95 and buffer reads for the next 30 minutes.

DeepSQL

App in #revenue-review

Sales Ops

9:12 AM

What was EMEA pipeline coverage this week versus last week, and which segment moved the most?

DeepSQL

APP

9:12 AM

EMEA coverage is 3.4x, up from 2.9x last week. Enterprise moved the most at +18%.

3.4x

Coverage

+18%

Enterprise

Answer time

Segment movement

Enterprise+18%

Mid-market+7%

SMB-2%

3 replies from Finance, Sales Ops, and DeepSQL

DeepSQL agent

$deepsql ask

→ "Write the revenue query Finance trusts"

Analyzing schema context, relationships, and business rules...

SELECT
  c.customer_name,
  SUM(o.total_amount) as revenue
FROM customers c
INNER JOIN orders o ON c.id = o.customer_id
WHERE o.status = 'completed'
GROUP BY c.id, c.customer_name
ORDER BY revenue DESC
LIMIT 10;

✓ Context-aware SQL generated with schema and workload context

Intelligent Understanding•

Brain

Knows everything about your schema, data and business context. DeepSQL learns your database structure, relationships, constraints, and business logic to provide intelligent, context-aware assistance.

Schema Intelligence

Tables mapped

188

2,431 columns

Relations inferred

642

beyond foreign keys

Schema Analysis

188 tables, 2,431 columns, 94 enums

Relations from query logs

391 joins learned from 18.7M queries

Relations from application code

251 model and repository joins mapped

Business Context

73 metrics, 45 rules, 31 naming patterns

Built for Claude and Codex

MCP + CLI

Use DeepSQL through Claude MCP, Codex MCP, or directly from the CLI. Bring schema-aware SQL generation, workload context, and safe suggestions into the agent workflows your engineering team already uses.

prod_db - deepsql cli

Terminal

$ deepsql ask "Find the query behind checkout latency spikes and propose the safest index fix" --connection prod_db

DeepSQL response

Checkout latency is driven by orders_write_path. The slowest query scans orders by workspace_id and sorts on updated_at for every checkout retry.

p95 latency

1.8s

Rows scanned

842k

Expected p95

220ms

Index recommendation

CREATE INDEX CONCURRENTLY idx_orders_workspace_updated_at
ON orders (workspace_id, updated_at DESC)
INCLUDE (status, total_amount);

Use this first because it matches the filter and sort path without changing checkout code. Run during low traffic, then compare p95 and buffer reads for the next 30 minutes.

Answers for non-technical teams

Slack BI

Non-technical teams can ask BI questions from Slack directly. DeepSQL translates business questions into SQL, runs the right analysis, and returns readable answers without waiting on an analyst.

DeepSQL

App in #revenue-review

Sales Ops

9:12 AM

What was EMEA pipeline coverage this week versus last week, and which segment moved the most?

DeepSQL

APP

9:12 AM

EMEA coverage is 3.4x, up from 2.9x last week. Enterprise moved the most at +18%.

3.4x

Coverage

+18%

Enterprise

Answer time

Segment movement

Enterprise+18%

Mid-market+7%

SMB-2%

3 replies from Finance, Sales Ops, and DeepSQL

Context-aware query generation

Agentic SQL

Ask for SQL in natural language and get production-aware queries grounded in schema, relationships, workload history, and business rules.

DeepSQL agent

$deepsql ask

→ "Write the revenue query Finance trusts"

Analyzing schema context, relationships, and business rules...

SELECT
  c.customer_name,
  SUM(o.total_amount) as revenue
FROM customers c
INNER JOIN orders o ON c.id = o.customer_id
WHERE o.status = 'completed'
GROUP BY c.id, c.customer_name
ORDER BY revenue DESC
LIMIT 10;

✓ Context-aware SQL generated with schema and workload context

Join the waitlist for your 24/7 data engineering team

Join teams using DeepSQL through Claude MCP, Codex MCP, CLI workflows, and Slack BI conversations for context-aware SQL generation and real-time workload analysis.