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/darshjoshi/pitwall/pitwall-pitwallgit clone --depth 1 https://github.com/darshjoshi/pitwallGrade A, and why
pitwall 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 2d 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
{
"pitwall": {
"command": "uvx",
"args": [
"--from",
"f1pitwall[full]",
"f1pitwall"
]
}
}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.
- 2d ago First seen · 10 lines scan A e27db99cb81e
pitwall is an MCP server published in the GitHub repository darshjoshi/pitwall (8 stars, last pushed 1mo 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
fastf1-mcp-server
MCP server for Formula 1 data via FastF1. Runs locally from the fastf1-mcp-server Python package.
f1-mcp-server
A Model Context Protocol (MCP) server that provides Formula One racing data for AI applications, including event schedules, driver information, telemetry data, race results, and performance analysis. Runs locally from the f1-mcp-server Python package.
pitstop
All-in-one F1 MCP Server. Runs locally from the pitstop-f1 Python package. Needs 1 environment variable to run.
f1
F1 MCP — Formula 1 data via the Ergast API. Remote server at gateway.pipeworx.io.
racehooks-mcp
F1 race analytics & live timing for AI assistants — webhooks, results, and race simulations. Runs locally from the racehooks-mcp npm package. Needs 3 environment variables to run.
fastf1-mcp
Local MCP server for Formula 1 race intelligence — connect to Claude Desktop or any MCP-compatible client. Runs locally from the fastf1-mcp Python package.