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/Nayjest/ai-microcoreWrote 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/nayjest/ai-microcore/ask_various_llms_via_mcp-ask-various-llms)<a href="https://agentmods.dev/mcp/nayjest/ai-microcore/ask_various_llms_via_mcp-ask-various-llms"><img src="https://agentmods.dev/badge/mcp/nayjest/ai-microcore/ask_various_llms_via_mcp-ask-various-llms/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/nayjest/ai-microcore/ask_various_llms_via_mcp-ask-various-llms"><img src="https://agentmods.dev/badge/mcp/nayjest/ai-microcore/ask_various_llms_via_mcp-ask-various-llms.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
ask-various-llms 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 12d 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.
What it actually says
{
"ask-various-llms": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"http://127.0.0.1:8001/mcp/"
]
}
}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.
- 12d ago First seen · 10 lines scan A 651f1b4a20ce
ask-various-llms is an MCP server published in the GitHub repository Nayjest/ai-microcore (108 stars, last pushed 16d ago), licensed MIT. 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 2026-08-30.
Other mcp servers, from other repositories
veritasgraph
The first zero-trust, air-gapped Enterprise GraphRAG server for the Model Context Protocol (MCP). Runs locally from the veritasgraph-mcp Python package. Needs 3 environment variables to run.
promptfoo
TypeScript Execute (tsx): Node.js enhanced with esbuild to run TypeScript & ESM files. Runs locally from the tsx npm package.
developers-mcp
Access Mastercard Developers APIs, documentation, and API specifications through MCP. Runs locally from the @mastercard/developers-mcp npm package.
mcp
Detect prompt injection, jailbreaks, and code injection in untrusted text before it reaches an LLM. Runs locally from the @safeprompt.dev/mcp npm package. Needs 3 environment variables to run.
mcp-neo4j-knowledge-graph
Neo4j-based knowledge graph MCP server with temporal versioning and semantic search. Runs locally from the @henrychong-ai/mcp-neo4j-knowledge-graph npm package.
mcp-server
Model Context Protocol server for Frontal. Runs locally from the @frontal-labs/mcp-server npm package.