Footnote runs on your own machine — the client starts it, so there is no endpoint to ping. 114 installs a week from npm. Last commit 14 Aug 2026.
Every number in an AI answer traces back to the rows that produced it.
We read the source, 12 h ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
$('answer').innerHTML = html;
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add footnote -- npx -y @brick-byte/footnote
{
"mcpServers": {
"footnote": {
"args": [
"-y",
"@brick-byte/footnote"
],
"command": "npx"
}
}
}
[mcp_servers.footnote]
command = "npx"
args = ["-y", "@brick-byte/footnote"]
{
"mcpServers": {
"footnote": {
"args": [
"-y",
"@brick-byte/footnote"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"footnote": {
"args": [
"-y",
"@brick-byte/footnote"
],
"command": "npx"
}
}
}
Proxy Gemini (Vertex AI) completions wrapped in OpenTelemetry trace spans; returns the answer plus t
Checks agent traces for evidence-readiness: verifies evidence is present, not that it is true.
Turn prototype feedback into product decisions that your whole team can trace.
MCP server for Sentry — error tracking, issues, releases, events, and projects for AI assistants.
MCP server for Ordali memory: SQLite-backed project memory and governance traces.
Decodes minified production stack traces back to original TypeScript source using source maps.
Invoicing you drive by talking to your AI: log time, raise invoices and track what's owed via MCP.
AI agent observability for production traces, natural-language insights, and improvement loops.
Answers built from our own checks of this server.