AWS Deep Learning Containers MCP Server provides tools for finding, building, deploying, upgrading, and troubleshooting AWS Deep Learning Containers, which are Docker images prepared for machine-learning workloads. It is for developers deploying models on AWS services and compute platforms, and the catalogue entry represents the server's MCP tools.
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 mcp/aws-samples/sample-dlc-mcp-server/aws_samples.dlc-mcp-servergit clone --depth 1 https://github.com/aws-samples/sample-dlc-mcp-serverWrote 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/aws-samples/sample-dlc-mcp-server/aws_samples.dlc-mcp-server)<a href="https://agentmods.dev/mcp/aws-samples/sample-dlc-mcp-server/aws_samples.dlc-mcp-server"><img src="https://agentmods.dev/badge/mcp/aws-samples/sample-dlc-mcp-server/aws_samples.dlc-mcp-server.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
aws_samples.dlc-mcp-server 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 5d 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
Licensed MIT-0
The repository is licensed MIT-0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 5d ago First seen · 8 lines scan A 25e97acf62eb
aws_samples.dlc-mcp-server is an MCP server published in the GitHub repository aws-samples/sample-dlc-mcp-server (3 stars, last pushed 2mo ago), licensed MIT-0. 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
docs-langchain
MCP server "docs-langchain", hosted remotely at docs.langchain.com, as configured in langchain-ai/langchain.
reference-langchain
MCP server "reference-langchain", hosted remotely at reference.langchain.com, as configured in langchain-ai/langchain.
playwright-test
A high-level API to automate web browsers. Runs locally from the playwright npm package.
supabase
Supabase's hosted MCP server: lets the agent manage projects, tables, SQL and migrations. Remote server at mcp.supabase.com.
mem0
MCP server "mem0" as configured in mem0ai/mem0. Runs ${CLAUDE_PLUGIN_ROOT}/core/mcp_server.py with python3. Needs 1 environment variable to run.
mcp-search
MCP server "mcp-search" as configured in thedotmack/claude-mem. Runs const f=require('fs'),p=require('path'),o=require('os'),c=require('child_process');const h=o.homedir();const C=process.env.CLAUDE_CONFIG_DIR||p.join(h,'.claude');const E=process.env.CLAUDE_PLUGIN_ROOT||process.env.PLUGIN_ROOT||'';const…