Borrowing it
Nothing to install: this file belongs to SAK1337/myzerionmcp. 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/SAK1337/myzerionmcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/SAK1337/myzerionmcpWrote 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/sak1337/myzerionmcp/claude-md)<a href="https://agentmods.dev/instructions/sak1337/myzerionmcp/claude-md"><img src="https://agentmods.dev/badge/instructions/sak1337/myzerionmcp/claude-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/sak1337/myzerionmcp/claude-md"><img src="https://agentmods.dev/badge/instructions/sak1337/myzerionmcp/claude-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 | $0.03708 | $0.03708 |
| Opus 5 | $0.01854 | $0.01854 |
| Sonnet 5 | $0.00742 | $0.00742 |
| Haiku 4.5 | $0.00371 | $0.00371 |
Grade A, and why
myzerionmcp CLAUDE.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 8d 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 — 451 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Zerion MCP Server - AI Assistant Guide
Project Overview
Zerion MCP Server is a production-ready Model Context Protocol (MCP) server that provides AI assistants with access to the Zerion API for cryptocurrency portfolio management, DeFi positions, NFTs, and blockchain market data.
Purpose
Enable AI assistants like Claude to query Web3 data through the MCP protocol by:
- Auto-generating tools from Zerion's OpenAPI specification
- Providing structured access to 100+ blockchain networks
- Supporting DeFi protocols, NFT metadata, and transaction history
- Enabling real-time webhook notifications for wallet activity
Key Capabilities
- Multi-Chain Aggregation: Query 100+ blockchains in a single API call (Ethereum, Base, Polygon, Arbitrum, Optimism, Solana, etc.)
- DeFi Protocol Coverage: Track 8,000+ DeFi protocols (Uniswap, Aave, Curve, Lido, etc.)
- NFT Metadata: Comprehensive NFT data with images, floor prices, and collection details
- Webhooks: Real-time transaction notifications (eliminates polling)
- Advanced Filtering: Chain-specific, DeFi-only, spam filtering, transaction type filtering
- Automatic Pagination: Handle large result sets (5000+ items) with cursor-based pagination
- Retry Logic: Exponential backoff for rate limits (429) and wallet indexing (202)
- Multi-Currency: USD, ETH, EUR, BTC denomination support
- Testnet Support: Test on Sepolia, Monad, Base Sepolia, etc. via X-Env header
Tech Stack
| Component | Technology | Purpose |
|---|---|---|
| Runtime | Python 3.11+ | Core language |
| Framework | FastMCP 2.8.0+ | MCP protocol implementation with OpenAPI integration |
| HTTP Client | httpx (async) | Non-blocking API calls |
| Config | PyYAML | YAML configuration parsing |
| Server | uvicorn/starlette | ASGI server |
| Retry | tenacity | Automatic retry with exponential backoff |
| Testing | pytest + pytest-asyncio | Unit and integration tests |
| Build | hatchling | Python package build system |
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.
- 8d ago First seen · 451 lines · 3,708 tokens per session scan A d5106729d18a
myzerionmcp CLAUDE.md is an instructions file published in the GitHub repository SAK1337/myzerionmcp (0 stars, last pushed 6mo ago), licensed MIT. It adds 3,708 tokens to every session, about $0.0185 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
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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 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).
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.