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/IamCatoBot/catobot-autoexperiment-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/mcp/iamcatobot/catobot-autoexperiment-mcp/catobot-autoexperiment-mcp-server)<a href="https://agentmods.dev/mcp/iamcatobot/catobot-autoexperiment-mcp/catobot-autoexperiment-mcp-server"><img src="https://agentmods.dev/badge/mcp/iamcatobot/catobot-autoexperiment-mcp/catobot-autoexperiment-mcp-server/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/iamcatobot/catobot-autoexperiment-mcp/catobot-autoexperiment-mcp-server"><img src="https://agentmods.dev/badge/mcp/iamcatobot/catobot-autoexperiment-mcp/catobot-autoexperiment-mcp-server.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
catobot-autoexperiment-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 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
{ "catobot-autoexperiment-mcp-server": { "command": "uvx", "args": [ "catobot-autoexperiment-mcp-server" ] } }
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 · 8 lines scan A bda4c59b7743
catobot-autoexperiment-mcp-server is an MCP server published in the GitHub repository IamCatoBot/catobot-autoexperiment-mcp (3 stars, last pushed 6mo ago), licensed Apache-2.0. 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
fishkeeper-ai-mcp
MCP server for fishkeeper ai. Features analyze water params, identify fish, check compatibility. From MEOK AI Labs. Runs locally from the fishkeeper-ai-mcp Python package.
gods-eye-geospatial-mcp
Gods Eye — civilian open-source geospatial awareness MCP. Wraps open-licence APIs (ESA Copernicus Sentinel-1/2/3/5p, OpenStreetMap, Overture, Ordnance Survey UK, INSPIRE EU, DEFRA) behind the MEOK Care Membrane ethics gate. For AI-agent situational awareness, environmental compliance, disaster response, agriculture.…
math-solver-ai-mcp
Math Solver Ai automation via MCP. Includes solve equation, statistics summary, matrix operations. By MEOK AI Labs. Runs locally from the math-solver-ai-mcp Python package.
cdc-health-mcp-server
Search and query CDC public health data — mortality, vaccinations, surveillance, behavioral risk. Runs locally from the @cyanheads/cdc-health-mcp-server npm package. Needs 2 environment variables to run.
regen-compute
Regenerative AI — fund verified ecological regeneration from your AI sessions via Regen Network. Estimate your footprint, browse carbon and biodiversity credits, and retire them on-chain via credit card. Runs locally from the regen-compute npm package.
physbound
Physical Layer Linter — validates RF and physics calculations against hard physical limits. Runs locally from the physbound Python package.