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.
git clone --depth 1 https://github.com/mario03690/ai-netcafeWrote 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/mcp/mario03690/ai-netcafe/netcafe-tables)<a href="https://agentmods.dev/mcp/mario03690/ai-netcafe/netcafe-tables"><img src="https://agentmods.dev/badge/mcp/mario03690/ai-netcafe/netcafe-tables/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/mcp/mario03690/ai-netcafe/netcafe-tables"><img src="https://agentmods.dev/badge/mcp/mario03690/ai-netcafe/netcafe-tables.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
netcafe-tables 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 1mo 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What else configures
This page is one entry in a file that holds 12. Installing the file brings all of them; each is measured and scanned on its own page.
- MCP server netcafe-almanac A not measured
- MCP server netcafe-build A not measured
- MCP server netcafe-china A not measured
- MCP server netcafe-devkit A not measured
- MCP server netcafe-docflow A not measured
- MCP server netcafe-docs A not measured
- MCP server netcafe-images A not measured
- MCP server netcafe-live-data A not measured
- MCP server netcafe-memory A not measured
- MCP server netcafe-tasks A not measured
- MCP server netcafe-translate A not measured
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.
- 1mo ago First seen · 6 lines scan A 85eabdeafcdc
netcafe-tables is an MCP server published in the GitHub repository mario03690/ai-netcafe (1 stars, last pushed 2mo ago), with no licence file. Its token cost is not measured: an MCP server costs its tool schemas, not its config file. 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 mcp servers, from other repositories
excel-mcp-server
MCP server for creating, reading and editing Excel workbooks without Microsoft Excel. Runs locally from the excel-mcp-server Python package.
sheetrender-mcp
Render PDFs from templates and spreadsheet data via SheetRender, locally or at mcp.sheetrender.com. Runs locally from the @sheetrender/mcp npm package. Needs 2 environment variables to run.
sheets
Spreadsheet File Context Protocol — semantic spreadsheet operations for LLMs. Runs locally from the fcp-sheets Python package.
data-cleaner-agent
Clean messy CSVs with an agentic workflow: an LLM decides the steps, tested code does the work. Runs locally from the agentic-csv-cleaner Python package.
sheets
Spreadsheet File Context Protocol — semantic spreadsheet operations for LLMs. Runs locally from the fcp-sheets Python package.
pdf-mcp
Gives AI agents agentic RAG over one PDF or a whole folder of them: hybrid semantic + keyword search, selective page reads, tables, images, TOC, OCR, chart data, and CJK/vertical-script support, with SQLite caching. Runs locally from the pdf-mcp Python package. Needs 2 environment variables to run.