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Find where ChatGPT names your competitor, write the page that closes the gap, measure it.
Find where ChatGPT names your competitor, write the page that closes the gap, measure it.
Remote endpoints: streamable-http: https://api.fulcru.app/mcp
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: FULCRU_TOKEN
Environment variable: FULCRU_ENDPOINT
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-gsmmediaro-fulcru": {
"url": "https://api.fulcru.app/mcp"
}
}
}From the project's GitHub README.
Get named by AI search engines.
When someone asks ChatGPT "what's the best CRM for a small team", the answer names two or three products. Those get the customer. Everyone else is invisible.
fulcru finds the questions where an AI assistant names a competitor instead of
you, writes the page that closes the gap, and measures what publishing it did. It
runs as a CLI, an MCP server, and an agent skill, so a human or an agent can run
the whole loop.
This repo is the open, self-hostable agent surface. The measurement engine is the hosted Fulcru service; everything here is a thin client that talks to it with your token.
We run it on ourselves and publish the result, whichever way it goes. Today it scores us 0 out of 34 prompts: we sell AI visibility and we score zero on our own product, with the full run and the source data.
npm install -g fulcru
export FULCRU_TOKEN=pk_... # Settings -> Integrations at fulcru.app
$ fulcru gaps
0% k57jc... best AI visibility tracker for a SaaS startup -> AI names Profound, Peec AI
0% k57bw... how do I know if ChatGPT recommends my brand -> AI names Otterly AI
33% k57xz... tools to track brand mentions in Perplexity -> AI names Semrush
Write the top one: fulcru write k57jc...
$ fulcru write k57jc... > page.md # the drafted article, grounded in what AI cites
$ fulcru publish k57jc... https://mysite.com/blog/ai-visibility-trackers
Published. Baseline: AI names you in 0% of 9 measured answers.
$ fulcru delta
0% -> 44% +44pts Best AI Visibility Trackers, Compared
That last line is the whole point.
| Command | What it does |
|---|---|
fulcru gaps [n] | Questions where AI names a competitor and not you, worst first |
fulcru write <promptId> | Writes the page that closes one gap; Markdown to stdout |
fulcru publish <pageId> <url> | Marks it live and snapshots the baseline to measure from |
fulcru delta | What your published pages actually did |
fulcru report [section] | overview, competitors, sources, mentions, prompts |
Add --json to any command for the raw payload.
Output is terse lines, not JSON blobs, because the caller is usually an LLM and
its context is the scarce resource. fulcru gaps costs an agent about 50 tokens;
the same data as raw API JSON costs about 800. fulcru write sends the Markdown
to stdout and everything else to stderr, so fulcru write <id> > page.md gives a
clean file.
Two ways to wire the five Fulcru tools into an agent.
Remote (hosted). Point any MCP client at the hosted endpoint with your token:
{
"mcpServers": {
"fulcru": {
"url": "https://little-orca-977.convex.site/mcp",
"headers": { "Authorization": "Bearer pk_..." }
}
}
}
Local (stdio). For hosts that prefer a subprocess, this package ships a stdio MCP server that proxies to the hosted endpoint:
{
"mcpServers": {
"fulcru": {
"command": "npx",
"args": ["-y", "fulcru", "fulcru-mcp"],
"env": { "FULCRU_TOKEN": "pk_..." }
}
}
}
Tools: fulcru_gaps, fulcru_write_page, fulcru_publish_page, fulcru_delta,
fulcru_visibility.
The skills/fulcru skill runs the whole playbook using
nothing but web access — audit a domain, find the gaps, write the page, re-measure
— with no account and no token. Install it into an agent that supports skills:
# Claude / OpenClaw
npx skills add gsmmediaro/fulcru
# Hermes
hermes skills install <path-or-registry>
The CLI and MCP above are what you use when you want it measured continuously across every engine, with the before/after delta tracked for you.
| Env var | Required | Default | Purpose |
|---|---|---|---|
FULCRU_TOKEN | for the CLI + local MCP | — | Your account token (Settings -> Integrations) |
FULCRU_ENDPOINT | no | https://little-orca-977.convex.site/mcp | Point at a self-hosted or custom-domain endpoint |
No secrets are baked into this repo. The token is read from the environment only.
The skill needs nothing. The CLI and MCP need a Fulcru account for the continuous,
measured loop; point FULCRU_ENDPOINT at your own instance if you run one.
A Docker image is provided:
docker build -t fulcru .
docker run --rm -e FULCRU_TOKEN=pk_... fulcru gaps
Issues and PRs welcome. The tool logic lives in the hosted service; this repo is the CLI, the stdio MCP proxy, and the skill. If AI names a competitor instead of you, open an issue with the question — that is exactly the gap this is built to close.
If this is useful, a ⭐ genuinely helps.
AGPL-3.0-or-later. See LICENSE.
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