Borrowing it
Nothing to install: this file belongs to apelogic-ai/db-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/apelogic-ai/db-mcp/main/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/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<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="Reviewed on agentmods" width="80" 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 5.5 | $0.00578 | $0.00578 |
| Sonnet 5.5 | $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 2mo 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.
- 2mo 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 6mo ago), licensed MIT. It adds 1,444 tokens to every session, about $0.0058 per session on Opus 5.5. 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.
db-mcp AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| db-mcp AGENTS.mdapelogic-ai/db-mcp | Instructions file | 6 | 6mo ago | MIT | A | 1,444 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 275k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |