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/rhel-lightspeed/docs2db-mcp-server/agents-mdgit clone --depth 1 https://github.com/rhel-lightspeed/docs2db-mcp-serverWrote 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/rhel-lightspeed/docs2db-mcp-server/agents-md)<a href="https://agentmods.dev/instructions/rhel-lightspeed/docs2db-mcp-server/agents-md"><img src="https://agentmods.dev/badge/instructions/rhel-lightspeed/docs2db-mcp-server/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 | $0.01526 | $0.01526 |
| Opus 5 | $0.00763 | $0.00763 |
| Sonnet 5 | $0.00305 | $0.00305 |
| Haiku 4.5 | $0.00153 | $0.00153 |
Grade A, and why
docs2db-mcp-server 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 4d 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 — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Knowledge base for AI agents working on this repository.
Project Overview
docs2db-mcp-server is an MCP (Model Context Protocol) server that exposes docs2db-api's RAG engine as tools for AI assistants. It provides semantic and hybrid search capabilities for RHEL documentation.
Stack: FastMCP → docs2db-api (UniversalRAGEngine) → PostgreSQL/pgvector
Related repositories:
- docs2db — builds the RAG database that this server queries
- docs2db-api — RAG query engine this server wraps
- docs2db-mcp-server — this repo
Author: Ellis Low ([email protected]) License: Apache-2.0 Python: >=3.12,<3.14 Package manager: uv MCP framework: FastMCP
Development Environment
# Install dependencies
uv sync
# Install pre-commit hooks
uv run pre-commit install
# Run linting/formatting/type checks
uv run pre-commit run --all-files
# CI-safe test run (excludes tests needing external services)
make test-ci
# Run all tests
make test
# Type check
make typecheck
# Run the MCP server locally
export DOCS2DB_MCP_DB_HOST=localhost
export DOCS2DB_MCP_DB_PASSWORD=postgres
uv run python -m docs2db_mcp
Code Architecture
src/docs2db_mcp/
├── __init__.py # Package metadata
├── __main__.py # Entry point (python -m docs2db_mcp)
├── config.py # Pydantic settings (DOCS2DB_MCP_* env vars)
├── engine.py # Singleton wrapper for UniversalRAGEngine
├── server.py # FastMCP server instance and @mcp.tool() registrations
└── tools/
├── __init__.py
└── search_documents.py # MCP tool implementation
Key Patterns and Conventions
- Logging: structlog (
structlog.get_logger()). Do NOT use stdliblogging. - Log formatting: Avoid f-strings in structlog calls. Use
%sstyle for lazy evaluation. - Config/settings: Pydantic
BaseSettingswithenv_prefix="DOCS2DB_MCP_". Environment variables are the ONLY configuration method. No config files. - Imports: Absolute imports only. Example:
from docs2db_mcp.config import CONFIG - FastMCP imports:
from fastmcp import FastMCP, ToolAnnotations - docs2db-api imports:
from docs2db_api.rag.engine import UniversalRAGEngine - Singleton engine: The RAG engine uses a module-level singleton to avoid multiple initializations. See
engine.py. - Async tools: All MCP tools are
async def. Useasync deffor all I/O operations. - ToolAnnotations: Set
annotations=ToolAnnotations(readOnlyHint=True)for read-only tools. - Tool returns: Return dictionaries (JSON-serializable). Include error handling with graceful degradation.
- Type hints: Required for all functions and parameters. All modules start with descriptive docstrings.
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.
- 4d ago First seen · 188 lines · 1,526 tokens per session scan A 12e14a5308c6
docs2db-mcp-server AGENTS.md is an instructions file published in the GitHub repository rhel-lightspeed/docs2db-mcp-server (4 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 1,526 tokens to every session, about $0.0076 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
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
next.js AGENTS.md
Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.