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A2db

agentic-eng/a2db
2STDIOregistry active
Summary

Connects Claude to PostgreSQL, MySQL, SQLite, Oracle, and SQL Server with read-only access enforced at the AST level via SQLGlot parsing. The execute tool lets you batch multiple named queries in a single call and returns TSV-formatted results to save tokens, though you can switch to JSON if needed. Pre-register connections in your MCP config with environment variable references for passwords, or let the agent call login on demand. Also exposes search_objects for schema exploration and includes per-query timing in responses. Useful when you want agents querying production databases without wrestling with one-query-at-a-time patterns or worrying about accidental writes.

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🗄️ a2db

Agent-to-Database

Give AI agents safe, read-only access to your databases. One call, multiple queries, clean results.

5 databases · batch queries · pre-configured connections · SQLGlot read-only

PyPI Python versions License CI MCP Registry

Quick Start · MCP Tools · Security · Comparison · Setup


Agent: "Show me active users and their recent orders"
  ↓
a2db execute → 2 queries, 1 call, structured results
  ↓
Agent: "Got it — 847 active users, avg order $42.50"

Why a2db?

Most database MCP servers make you run one query at a time, repeat connection details on every call, and return results double-encoded inside JSON strings. a2db fixes all of that:

  • Pre-configured connections — define databases in .mcp.json with --register, agent queries immediately
  • Batch queries — run multiple named queries in a single tool call
  • Default connection — set connection once, use it across all queries in a batch
  • Clean output — structured JSON envelope with compact TSV data and per-query timing (see why TSV?)
  • Read-only enforced — SQLGlot AST parsing blocks all write operations
  • All drivers bundled — pip install a2db and you're done
  • Secrets stay in env — ${DB_PASSWORD} in DSNs, expanded only at connection time

Supported Databases

DatabaseDriverAsync
PostgreSQLasyncpgnative
SQLiteaiosqlitenative
MySQL / MariaDBmysql-connector-pythonwrapped
Oracleoracledbwrapped
SQL Serverpymssqlwrapped

Quick Start

pip install a2db

As an MCP Server (recommended)

Claude Code (with pre-configured connection):

claude mcp add -s user a2db -- a2db-mcp \
  --register myapp/prod/main 'postgresql://user:${DB_PASSWORD}@host/mydb'

Claude Code (minimal — agent calls login on demand):

claude mcp add -s user a2db -- a2db-mcp

Claude Desktop / Cursor / any MCP client (.mcp.json):

{
  "mcpServers": {
    "a2db": {
      "command": "uvx",
      "args": [
        "a2db-mcp",
        "--register", "myapp/prod/main", "postgresql://user:${DB_PASSWORD}@host/mydb"
      ],
      "env": {
        "DB_PASSWORD": "your-password-here"
      }
    }
  }
}

Multiple databases:

{
  "args": [
    "a2db-mcp",
    "--register", "myapp/prod/main", "postgresql://user:${DB_PASSWORD}@host/maindb",
    "--register", "myapp/prod/analytics", "postgresql://user:${DB_PASSWORD}@host/analytics"
  ]
}

--register pre-registers connections at server startup — the agent can query immediately. Passwords use ${ENV_VAR} syntax and are expanded at connection time, never stored in plaintext.

As a CLI

# Save a connection (validates immediately)
a2db login -p myapp -e prod -d main 'postgresql://user:${DB_PASSWORD}@localhost/mydb'

# Query
a2db query -p myapp -e prod -d main "SELECT * FROM users LIMIT 10"

# JSON output
a2db query -p myapp -e prod -d main -f json "SELECT * FROM users LIMIT 10"

# Explore schema
a2db schema -p myapp -e prod -d main tables
a2db schema -p myapp -e prod -d main columns -t users

# List / remove connections
a2db connections
a2db logout -p myapp -e prod -d main

MCP Tools

ToolDescription
loginSave a connection — validates by connecting first
logoutRemove a saved connection
list_connectionsList connections (no secrets exposed)
executeRun named batch queries with pagination
search_objectsExplore schema — tables, columns, with detail levels

execute — the core tool

Named dict with default connection (preferred):

{
  "connection": {"project": "myapp", "env": "prod", "db": "main"},
  "queries": {
    "active_users": {"sql": "SELECT id, name FROM users WHERE active = true"},
    "recent_orders": {"sql": "SELECT id, total FROM orders ORDER BY created_at DESC LIMIT 5"}
  }
}

List format (auto-named q1, q2, ...):

{
  "connection": {"project": "myapp", "env": "prod", "db": "main"},
  "queries": [
    {"sql": "SELECT COUNT(*) AS cnt FROM users"},
    {"sql": "SELECT AVG(total) AS avg_order FROM orders"}
  ]
}

Response (TSV format — default):

{
  "active_users": {
    "data": "id\tname\n1\tAlice\n2\tBob\n3\tCharlie",
    "rows": 3,
    "truncated": false,
    "time_ms": 12
  },
  "recent_orders": {
    "data": "id\ttotal\n501\t129.00\n500\t49.99",
    "rows": 2,
    "truncated": false,
    "time_ms": 8
  }
}

No ::text casts needed — integers, floats, timestamps, arrays, NULLs all work natively.

Error context

When a query fails with a column error, a2db enriches the message:

column "nme" does not exist
Did you mean: name?
Available columns: id (integer), name (text), email (text), active (integer)

Why TSV?

LLM context windows are expensive. JSON row data is verbose — every row repeats every column name, adds braces, commas, and quotes. TSV is a flat grid: one header row, then just values separated by tabs.

For a 100-row, 5-column result set, TSV typically uses 40-60% fewer tokens than JSON row format. The structured JSON envelope still gives you metadata (row count, truncation status) — only the row payload is TSV.

Set format="json" if you need full structured output with column names on every row.

Security

Read-Only Enforcement

Every query is parsed by SQLGlot before execution:

  • Blocked: INSERT, UPDATE, DELETE, DROP, TRUNCATE, ALTER, CREATE, GRANT, REVOKE
  • Bypass-resistant: multi-statement attacks and comment-wrapped writes are caught at the AST level, not just keyword matching
  • Allowed: SELECT, UNION, EXPLAIN, SHOW, DESCRIBE, PRAGMA

This is defense-in-depth — you should also use a read-only database user, but a2db won't let writes through even if the user has write permissions.

Write support is implemented in the core but not yet exposed via MCP. Planned: per-connection write permissions, explicitly enabled by the human operator — not the agent. See TODO.md.

Credential Storage

Connections are saved in ~/.config/a2db/connections/ as TOML files.

  • ${DB_PASSWORD} syntax — environment variable references are stored literally and expanded only at connection time. Secrets stay in your environment, not on disk.
  • No secrets in list output — list_connections shows project/env/db and database type, never DSNs or passwords
  • Connection files are local to your machine and outside any repository

Deployment Scope

a2db currently runs as a local stdio MCP server. It inherits environment variables from the process that launches it (your shell, Claude Code, Docker). This is the standard model for local MCP servers — the same approach used by DBHub, Google Toolbox, and others.

Planned: remote HTTP transport with OAuth 2.1 per the MCP spec. For now, if running in Docker, inject secrets via environment variables at container runtime.

Comparison

Featurea2dbDBHubGoogle ToolboxPGMCPSupabase MCP
Databases5 (PG, SQLite, MySQL, Oracle, MSSQL)5 (PG, MySQL, MSSQL, MariaDB, SQLite)40+ (cloud + OSS)PG onlyPG (Supabase)
Batch queriesNamed dict + listSemicolon-separatedNoNoNo
Default connectionSet once, use for allPer-queryN/ASingle DBSingle project
Read-onlySQLGlot AST (enforced)Keyword check (config)Hint/annotationRead-only tx + regexConfig flag
Write supportPlanned (per-connection)Config flagVia tool definitionNoConfig flag
OutputJSON + TSV dataStructured textMCP protocolTable / JSON / CSVJSON
Schema discovery3 detail levelsDedicated toolPrebuilt toolsVia NL-to-SQLDedicated tools
Pre-configured--register in MCP configConfig fileYAML configEnv varCloud-managed
Credentials${ENV_VAR} in DSNDSN stringsEnv vars + GCP IAMEnv varOAuth 2.1
Drivers bundledAll includedAll includedVariesBuilt-inManaged
CLIYesNoYesYesNo
Error contextColumn suggestions + typesNoNoNoNo
LicenseApache 2.0MITApache 2.0Apache 2.0Apache 2.0

When to use what:

  • a2db — multi-DB batch queries with clean output, agent-first design, fast setup
  • DBHub — custom tools via TOML config, web workbench UI
  • Google Toolbox — GCP ecosystem, IAM integration, 40+ sources
  • PGMCP — natural-language-to-SQL for PostgreSQL (requires OpenAI key)
  • Supabase MCP — full Supabase platform management (edge functions, branching, storage)

Setup by Environment

Local (macOS / Linux)

pip install a2db

# CLI
a2db login -p myapp -e dev -d main 'postgresql://user:pass@localhost/mydb'

# Or add as MCP server (see Quick Start)

Docker

FROM python:3.12-slim
RUN pip install a2db
CMD ["a2db-mcp", "--register", "myapp/prod/main", "postgresql://user:${DB_PASSWORD}@host/mydb"]
docker run -e DB_PASSWORD=secret -i my-a2db-image

Secrets are injected as environment variables at runtime — never baked into the image.

CI / Automation

pip install a2db

# Pre-configured — no login needed
a2db-mcp --register myapp/ci/main "postgresql://ci_user:${CI_DB_PASSWORD}@db-host/mydb"

# Or use CLI directly
a2db login -p myapp -e ci -d main "postgresql://ci_user:${CI_DB_PASSWORD}@db-host/mydb"
a2db query -p myapp -e ci -d main "SELECT COUNT(*) FROM migrations"

Development

make bootstrap   # Install deps + hooks
make check       # Lint + test + security (full gate)
make test        # Tests with coverage (90% minimum)
make lint        # Lint only (never modifies files)
make fix         # Auto-fix + lint

License

Apache 2.0


🗄️ Agent-first database access since 2025.

Built by Denis Tomilin

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Categories
AI & LLM Tools
Registryactive
Packagea2db
TransportSTDIO
UpdatedMar 29, 2026
View on GitHub

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