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MCP verified Apache-2.0 Self-run

A2db

mcp-yoselabs-a2db · by yoselabs

Agent-to-Database — CLI and MCP server for AI agents to query databases.

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Install

$ agentstack add mcp-yoselabs-a2db

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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5mo ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

🗄️ 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

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?](#why-tsv))
  • Read-only enforced — SQLGlot AST parsing blocks all write operations
  • All drivers bundledpip install a2db and you're done
  • Secrets stay in env${DB_PASSWORD} in DSNs, expanded only at connection time

Supported Databases

| Database | Driver | Async | |----------|--------|-------| | PostgreSQL | asyncpg | native | | SQLite | aiosqlite | native | | MySQL / MariaDB | mysql-connector-python | wrapped | | Oracle | oracledb | wrapped | | SQL Server | pymssql | wrapped |

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

| Tool | Description | |------|-------------| | login | Save a connection — validates by connecting first | | logout | Remove a saved connection | | list_connections | List connections (no secrets exposed) | | execute | Run named batch queries with pagination | | search_objects | Explore 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](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 outputlist_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

| Feature | a2db | DBHub | Google Toolbox | PGMCP | Supabase MCP | |---------|------|-------|----------------|-------|--------------| | Databases | 5 (PG, SQLite, MySQL, Oracle, MSSQL) | 5 (PG, MySQL, MSSQL, MariaDB, SQLite) | 40+ (cloud + OSS) | PG only | PG (Supabase) | | Batch queries | Named dict + list | Semicolon-separated | No | No | No | | Default connection | Set once, use for all | Per-query | N/A | Single DB | Single project | | Read-only | SQLGlot AST (enforced) | Keyword check (config) | Hint/annotation | Read-only tx + regex | Config flag | | Write support | Planned (per-connection) | Config flag | Via tool definition | No | Config flag | | Output | JSON + TSV data | Structured text | MCP protocol | Table / JSON / CSV | JSON | | Schema discovery | 3 detail levels | Dedicated tool | Prebuilt tools | Via NL-to-SQL | Dedicated tools | | Pre-configured | --register in MCP config | Config file | YAML config | Env var | Cloud-managed | | Credentials | ${ENV_VAR} in DSN | DSN strings | Env vars + GCP IAM | Env var | OAuth 2.1 | | Drivers bundled | All included | All included | Varies | Built-in | Managed | | CLI | Yes | No | Yes | Yes | No | | Error context | Column suggestions + types | No | No | No | No | | License | Apache 2.0 | MIT | Apache 2.0 | Apache 2.0 | Apache 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

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.