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/senpai-sama7/ultimate_mcp/agents-mdgit clone --depth 1 https://github.com/Senpai-Sama7/Ultimate_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/senpai-sama7/ultimate_mcp/agents-md)<a href="https://agentmods.dev/instructions/senpai-sama7/ultimate_mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/senpai-sama7/ultimate_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 | $0.00655 | $0.00655 |
| Opus 5 | $0.00328 | $0.00328 |
| Sonnet 5 | $0.00131 | $0.00131 |
| Haiku 4.5 | $0.00065 | $0.00065 |
Grade A, and why
Ultimate_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.
How it starts
The opening of the file, as written. The whole thing — 36 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Guidelines for Agentic Coding Agents
Project Structure & Module Organization
backend/ contains the FastAPI MCP service; core runtime lives in mcp_server/ and cross-agent glue in agent_integration/. Tests mirror runtime code under backend/tests/ with fixtures in conftest.py. frontend/ is the Vite + React client (src/components, src/hooks, src/services). cli/ ships the Node installer via bin/ultimate-mcp.js and supporting modules in src/. Refer to deployment/ for Compose assets, scripts/ for automation, docs/ for architecture notes, and demo/full_demo.py for the supervised walk-through.
Build, Test, and Development Commands
- Setup:
python scripts/setup.py [--ci](prepares backend/.venv and installs Node deps) - Run API:
source backend/.venv/bin/activate && uvicorn mcp_server.enhanced_server:app --reload --port 8000 --host 0.0.0.0 - Run UI:
cd frontend && npm run dev - Run tests:
backend/.venv/bin/pytest backend/tests - Run single test:
backend/.venv/bin/pytest backend/tests/test_file.py::test_function_name - Lint Python:
backend/.venv/bin/ruff check backend - Type check Python:
backend/.venv/bin/mypy backend - Lint frontend:
cd frontend && npm run lint
Coding Style & Naming Conventions
- Python: 4-space indentation, full type hints, 100-char limit (enforced by black/ruff)
- Naming: snake_case for modules/functions, PascalCase for classes, descriptive MCP tool IDs
- Error handling: Use specific exceptions, log appropriately, don't suppress silently
- Imports: Standard library first, then third-party, then local; alphabetical within groups
- Frontend: ESLint enforced; React components in PascalCase, hooks/utilities in camelCase
Testing Guidelines
- Mandatory coverage:
backend/.venv/bin/pytest backend/tests --cov=backend/mcp_server --cov=backend/agent_integration --cov-report=term-missing - Backend tests spin up Neo4j test container via Docker; ensure Docker daemon is running
- Validate workflow:
python demo/full_demo.py --base-url http://localhost:8000 --auth-token <token>thenpython scripts/smoke_test.py - CLI/UI updates: Run
cd cli && npm run smokeand record manual checks
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 · 36 lines · 655 tokens per session scan A d9af6b0af645
Ultimate_MCP AGENTS.md is an instructions file published in the GitHub repository Senpai-Sama7/Ultimate_MCP (0 stars, last pushed 8mo ago), licensed MIT. It adds 655 tokens to every session, about $0.0033 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 2026-09-01.
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.