AI Database Context Compiler

AI can write SQL.
It can’t know your database.

Schemap compiles your database schema into compact, deterministic context for AI coding agents, SQL workflows, and developer tools.

Install Schemap FreeView on GitHub

Local-firstPostgreSQLSQLiteMySQLOracleCLI-first

terminal

$

The dangerous kind of wrong

Looks right. Is it or is it not?

AI can confidently generate a query that matches familiar naming patterns—but misses the relationships that are true in your database.

Plausible query, wrong relationship 
SELECT orders.id, users.email
FROM orders
JOIN users
  ON orders.customer_id = users.id;

The query looks reasonable. Your schema has no orders.customer_id.

The missing context

Your AI doesn’t know what your tables mean.

Raw dumps describe structure, but bury the context an agent needs to make reliable database decisions.

01

Relationships are easy to miss

Foreign keys and join paths disappear inside a wall of DDL.

02

Names are not business context

acct_id may mean something completely different in your domain.

03

More tokens are not more clarity

Noise consumes the context window before the real problem begins.

A context layer for your database

From raw structure to useful context.

01Your databaseSchema metadata
→
02SchemapInspect · score · compile
→
03AI-ready contextMaps · joins · rules

Claude Code · Cursor · Codex · Copilot · Custom agents

One command

Give your agent the database it actually has.

Schemap runs locally, extracts the relationships that matter, and writes context files your existing workflow can use.

Try it in your project ↗
schemap context

$ schemap context

→ Inspecting schema...

→ Mapping foreign-key relationships...

→ Compiling AI context...

✓ Context written to database_context.md

$ schemap benchmark

Measure raw vs compiled tokens on your schema.

Measure, don’t guess

Make room for the problem you’re solving.

Token savings vary by schema. The built-in benchmark reports your raw estimate, compiled context size, relationship coverage, readiness score, and compile latency.

↓Token footprintMeasured per database

◎AI readinessActionable schema score

↗Relationship clarityExplicit join paths

The workflow

Everything your agent needs to stop guessing.

01

Inspect

See tables, columns, keys, and relationships as a clean structural map.

schemap inspect
02

Score

Find missing keys, disconnected entities, and ambiguous names that hurt AI accuracy.

schemap score
03

Context

Compile compact Markdown, JSON, YAML, XML, MCP, or AI-ready context files.

schemap context
04

Diff

Track structural schema changes between runs and keep agent context current.

schemap diff
05

Agents

Generate CLAUDE.md and AGENTS.md files with the database rules your agents need.

schemap agents

Built for developer workflows

Your schema stays in your workflow.

Extraction and compilation run locally by default. Schemap produces files you can inspect, commit, review, and inject into the tools you already use.

Supported databases
PostgreSQL · SQLite · MySQL · Turso/libSQL · Oracle

Optional enrichment
--enrich can use the configured OpenAI API to improve business descriptions.

License checks
Licensed CI/CD usage verifies a license online; local free usage does not require an external AI service.

Start locally in 60 seconds

Add an AI database context layer.

Install the CLI with pipx (or pip / uv), point it at your schema, and compile instant AI-ready context.

Free (Works immediately)

# 1. Install developer CLI globally

pipx install schemap-tool

# 2. Verify installation

schemap --version

# 3. Initialize & compile context

schemap init
schemap context
Pro (Optional activation)

# Activate Pro key anytime for unlimited tables & CI/CD

schemap activate YOUR_LICENSE_KEY
Requirements: Python 3.10+ · pipx (or pip / uv)

2026 Founder Program

Start free. Upgrade when your workflow grows.

The full local CLI is available for free. Pro unlocks larger schemas, CI/CD automation, and production workflow support.

Free

$0

For local projects and evaluation.

  • Up to 100 tables
  • Full local CLI
  • Inspect, score, context, diffs, benchmarks, and exports
  • No account or API key required
Install free
Founder pricing

Pro

$7.99/mo
$9.99/mo20% off

Flexible monthly billing.

  • Unlimited tables
  • CI/CD execution
  • Production schema workflows
  • Priority support and founder benefits
Get Pro
Limited founders

Founder Lifetime

$79.99 once

One payment for lifetime Pro access.

  • Everything in Pro
  • Future Pro updates
  • Founder feature access
  • Available during 2026
Become a founder

Developer FAQ

A few practical answers.

Does Schemap send my database data to an AI?

Not by default. Extraction and compilation run locally. Optional --enrich sends compressed schema metadata to the configured OpenAI API. Licensed CI/CD usage also performs an online license check.

Does Schemap replace my ORM?

No. Schemap creates context for agents and SQL workflows. Your ORM, migrations, and application remain the source of truth for runtime behavior.

Can I use it with Cursor, Claude Code, Codex, or Copilot?

Yes. Generate Markdown context, CLAUDE.md, AGENTS.md, JSON, MCP, or framework exports for the workflow your agent already reads.

Which databases are supported?

PostgreSQL, SQLite, MySQL, Turso/libSQL, and Oracle are supported by the current extractors.

Give your database a context layer

Your AI is only as good as the context you give it.

Make the relationships explicit before your agent starts writing SQL.

Install Schemap FreeView on GitHub