Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/apelogic-ai/db-mcp/agents-mdgit clone --depth 1 https://github.com/apelogic-ai/db-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/apelogic-ai/db-mcp/agents-md)<a href="https://agentmods.dev/instructions/apelogic-ai/db-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/apelogic-ai/db-mcp/agents-md.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01444 | $0.01444 |
| Opus 5 | $0.00722 | $0.00722 |
| Sonnet 5 | $0.00289 | $0.00289 |
| Haiku 4.5 | $0.00144 | $0.00144 |
Grade A, and why
db-mcp AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file mirrors the repo guidance in CLAUDE.md and serves as the main agent handbook for working on db-mcp. Do not remove CLAUDE.md.
Project Overview
db-mcp is an MCP (Model Context Protocol) server that enables Claude Desktop to query databases using natural language. It was extracted from the semantic-grid project as a standalone component.
Core capabilities:
- Introspects database schemas automatically
- Builds a semantic understanding of data through interactive onboarding
- Generates and validates SQL from natural language
- Supports multiple database backends
Repository Structure (Monorepo)
packages/
core/ # Main application package (db-mcp)
models/ # Shared data models (db-mcp-models)
ui/ # Next.js UI application
Key paths:
packages/core/src/db_mcp/- primary Python sourcepackages/models/src/db_mcp_models/- shared Pydantic modelspackages/ui/- Next.js UIdocs/- design documents
Technology Stack
- Python 3.13+
- FastMCP (>=2.0.0)
- Pydantic AI with MCPSamplingModel
- SQLAlchemy 2.0, SQLGlot
- Click + Rich for CLI
- OpenTelemetry for observability
Supported databases: PostgreSQL, ClickHouse, Trino, MySQL, SQL Server
Key Modules (Core)
cli.py- CLI entry pointserver.py- FastMCP server initialization and tool registrationconfig.py- Settings and connection managementdialect.py- SQL dialect detectiondb/- database abstraction and introspectiontools/- MCP tools (database, generation, onboarding, validation, training)onboarding/- schema discovery and documentation workflowtraining/- query examples and feedbacktasks/- query/task history storagevault/- storage backends (local filesystem, S3)console/- trace viewer UIvalidation/- SQL validation and cost estimationbicp/- BICP agent for UI communicationui_server.py- FastAPI server for UI + BICP endpointmigrations/- data migrations for connection storagemetrics/- business metrics storage and retrieval
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 169 lines · 1,444 tokens per session scan A 8346982979dc
db-mcp AGENTS.md is an instructions file published in the GitHub repository apelogic-ai/db-mcp (6 stars, last pushed 4mo ago), licensed MIT. It adds 1,444 tokens to every session, about $0.0072 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
lms-front CLAUDE.md
Claude Code instructions for guillermoscript/lms-front, covering claude.md, project overview, commands, architecture and multi-tenancy.
vespertide AGENTS.md
AGENTS.md instructions for dev-five-git/vespertide, covering vespertide knowledge base, structure, where to look, data flow and conventions.
seekstone CLAUDE.md
Claude Code instructions for shaqmughal/seekstone, covering claude.md, what this repo is, commands, the harness itself (run after npm install) and architecture.
rails_ai_agents AGENTS.md
AGENTS.md instructions for ThibautBaissac/rails_ai_agents, covering project configuration, tech stack, architecture, key commands and tests.
pg-dash CLAUDE.md
Claude Code instructions for indiekitai/pg-dash, covering pg-dash claude.md, 项目结构, 构建与测试, 发版纪律（强制） and 发版检查清单（每次 npm publish 前必须按序执行）.
MCP-SqlServer CLAUDE.md
Claude Code instructions for Aron-Valenzuela/MCP-SqlServer, covering claude.md, project overview, setup (for each user), 1. install dependencies and 2. configure claude desktop.