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/cgisclair29/rapid7-mcp/agents-mdgit clone --depth 1 https://github.com/Cgisclair29/Rapid7-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/cgisclair29/rapid7-mcp/agents-md)<a href="https://agentmods.dev/instructions/cgisclair29/rapid7-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/cgisclair29/rapid7-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 | $0.01947 | $0.01947 |
| Opus 5 | $0.00974 | $0.00974 |
| Sonnet 5 | $0.00389 | $0.00389 |
| Haiku 4.5 | $0.00195 | $0.00195 |
Grade A, and why
Rapid7-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 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.
This is a copy
100% identical to rapid7-bulk-export-mcp AGENTS.md — 25 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Project
MCP server that exports Rapid7 data via the Bulk Export API and loads it into DuckDB for SQL analysis. Exposes MCP tools consumed by AI assistants (Claude Desktop, Kiro, etc.).
Dev Setup
# Install dependencies
uv sync
# Required env vars
export RAPID7_API_KEY=your-key
export RAPID7_REGION=us # us, us2, us3, eu, ca, au, ap
# Run the server (stdio)
uv run rapid7-mcp-server
# Or via venv entry point directly (required for Claude Desktop)
.venv/bin/rapid7-mcp-server
Commands
make test # run the test suite
make lint # ruff check + format check
make lint-fix # auto-fix lint and format issues
make security # bandit security scan
make help # list all targets
Version management
make version # print current version
make check-version # verify manifest.json, pyproject.toml, SKILL.md are in sync
make bump-version V=0.5.0 # bump all three version files atomically + uv lock
Packaging and release
make package # build .mcpb bundle + skill zip (requires mcpb: npm install -g @anthropic-ai/mcpb)
make package-mcpb # .mcpb bundle only
make package-skill # skill zip only
make release # check-version + package + create GitHub release (requires gh CLI + GH_TOKEN)
make clean # remove build artifacts
Architecture
| Module | Responsibility |
|---|---|
src/mcp_server.py |
FastMCP tool definitions, request routing, startup |
src/export_manager.py |
GraphQL mutations to create exports, status polling |
src/duckdb_loader.py |
Load Parquet files into DuckDB, prefix → table routing |
src/export_tracker.py |
Separate DuckDB tracking DB — avoids redundant daily exports |
src/graphql_client.py |
Authenticated GraphQL HTTP client |
src/download.py |
Download Parquet files from signed URLs |
src/config.py |
Load and validate config from environment variables |
Database tables
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 · 184 lines · 1,947 tokens per session scan A fe995dd540c5
Rapid7-MCP AGENTS.md is an instructions file published in the GitHub repository Cgisclair29/Rapid7-MCP (0 stars, last pushed 18d ago), licensed MIT. It adds 1,947 tokens to every session, about $0.0097 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to rapid7-bulk-export-mcp AGENTS.md, differing in 25 lines, and is treated as a copy.
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.
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).
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.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.