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/dmitryanchikov/mcp-optimizer/integration-mcp-optimizergit clone --depth 1 https://github.com/dmitryanchikov/mcp-optimizerWrote 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/dmitryanchikov/mcp-optimizer/integration-mcp-optimizer)<a href="https://agentmods.dev/mcp/dmitryanchikov/mcp-optimizer/integration-mcp-optimizer"><img src="https://agentmods.dev/badge/mcp/dmitryanchikov/mcp-optimizer/integration-mcp-optimizer.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
mcp-optimizer 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.
What it actually says
{
"mcp-optimizer": {
"command": "python",
"args": [
"main.py"
],
"env": {
"SOLVER_TIMEOUT": "300",
"MAX_ITERATIONS": "10000",
"SOLVER_THREADS": "4",
"LOG_LEVEL": "INFO",
"CACHE_ENABLED": "true",
"CACHE_TTL": "3600"
}
}
}What else claude_desktop_config.json configures
This page is one entry in a file that holds 3. Installing the file brings all of them; each is measured and scanned on its own page.
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 · 16 lines scan A 9b78b7bbc9f5
mcp-optimizer is an MCP server published in the GitHub repository dmitryanchikov/mcp-optimizer (5 stars, last pushed 10mo 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 2026-08-31.
Other mcp servers, from other repositories
strata
MCP server for progressive tool usage at any scale (see https://klavis.ai). Remote server at strata.klavis.ai.
pare-test
Pare Test ג€” Auto-detects test framework (pytest, jest, vitest, mocha), returns typed JSON. Runs locally from the @paretools/test npm package.
hypermnesia-mcp
Scientifically-grounded memory system based on computational neuroscience research. Runs locally from the hypermnesia-mcp Python package.
claude-octopus
Spawn multiple specialized Claude Code agents as MCP servers, each independently configured. Runs locally from the claude-octopus npm package. Needs 7 environment variables to run.
mcp-pve
Manage Proxmox VE through AI assistants. Runs locally from the @samik081/mcp-pve npm package. Needs 3 environment variables to run.
transcriptor-mcp
MCP server "transcriptor-mcp" as configured in samson-art/transcriptor-mcp. Runs in Docker (docker.io/artsamsonov/transcriptor-mcp:1.2.4).