Borrowing it
Nothing to install: this file belongs to ttpears/mysql-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/ttpears/mysql-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/ttpears/mysql-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/ttpears/mysql-mcp/claude-md)<a href="https://agentmods.dev/instructions/ttpears/mysql-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/ttpears/mysql-mcp/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/ttpears/mysql-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/ttpears/mysql-mcp/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 | $0.03996 | $0.03996 |
| Opus 5.5 | $0.01598 | $0.01598 |
| Sonnet 5.5 | $0.00799 | $0.00799 |
| Haiku 4.5 | $0.00400 | $0.00400 |
Grade A, and why
mysql-mcp 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 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 — 505 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MySQL MCP Server
An intelligent MySQL MCP (Model Context Protocol) server with enterprise data federation capabilities, enabling LLMs to query and analyze data across multiple disparate MySQL data sources with expert analytics and comprehensive caching.
Features
🏢 Enterprise Data Federation
- Multi-Source MySQL Access: Connect to and query across completely different MySQL data sources (CRM, ERP, Analytics, E-commerce, etc.)
- Intelligent Data Source Discovery: Automatically catalog and classify databases across all connected sources
- Cross-Source Query Engine: Execute federated queries combining data from multiple business systems
- Data Source Relationship Detection: Find connections between disparate systems (shared customer IDs, product codes, etc.)
🔍 Advanced Analytics
- Read-only MySQL Operations: Execute SELECT, SHOW, DESCRIBE, and EXPLAIN queries safely across all sources
- Cross-Source Business Intelligence: Combine CRM customers with e-commerce orders, inventory with sales, etc.
- User Journey Analytics: Track users across multiple business systems and touchpoints
- Data Consistency Validation: Compare data integrity across different business systems
- Performance Benchmarking: Compare query performance across different data sources
💾 Enterprise Caching & Performance
- Source-Specific Caching: High-performance caching system with TTL support isolated per data source
- Connection Pooling: Efficient connection management across multiple business systems
- Query Optimization: Expert query suggestions based on federated schema analysis
Caching System
The server includes a robust caching system that stores all query results, schema analysis, and discovery reports:
- Query Results: Cached in
~/.mcp-mysql-cache/queries/[date]/with 1-hour TTL - Schema Analysis: Cached in
~/.mcp-mysql-cache/schema-snapshots/with 1-2 hour TTL - Discovery Reports: Cached in
~/.mcp-mysql-cache/reports/discovery-reports/with 4-hour TTL - Relationship Analysis: Cached in
~/.mcp-mysql-cache/reports/relationship-analysis/
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 · 505 lines · 3,996 tokens per session scan A 4e12b8a5dfbc
mysql-mcp CLAUDE.md is an instructions file published in the GitHub repository ttpears/mysql-mcp (2 stars, last pushed 1mo ago), licensed MIT. It adds 3,996 tokens to every session, about $0.0160 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.
mysql-mcp CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mysql-mcp CLAUDE.mdttpears/mysql-mcp | Instructions file | 2 | 1mo ago | MIT | A | 3,996 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | 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 | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |