# Synapse — GEO Growth Layer

> Use this tool when you need to optimize and track AI agent discovery and recommendations for your project, solving issues with visibility and growth. It provides a suite of tools, including a GEO linter, auto-fixers, and tracking features, accepting URLs or local paths as input and outputting a Growth Score and actionable insights. Ideal for use before launching a new product to ensure maximum discoverability by AI agents.

Canonical page: https://skillsregistry.net/skills/calvinling2021-synapse-geo  
JSON: https://api.skillsregistry.net/v1/skills/calvinling2021-synapse-geo

## Description

**The GEO check every vibe coder runs before they launch.**

Synapse is the GEO (Generative Engine Optimization) growth layer for new products. This MCP server gives any coding agent — Cursor, Claude Code, Windsurf, Cline, Continue, Zed — the ability to audit, fix, and track how AI agents discover and recommend a project.

### Tools

- **`geo_check`** — Run the 24-rule GEO linter on a URL or local path. Returns a 0–100 Growth Score and a list of failing rules with evidence.
- **`geo_fix`** — Apply auto-fixers: writes `llms.txt`, `robots.txt` (with the AI-bot allowlist), and `/.well-known/agent-answer.json` to the project. Never touches your content.
- **`geo_track_init`** — Register the site with the Synapse dashboard to start tracking AI-agent referrals.
- **`geo_prompts`** — Generate a visibility-test prompt pack for ChatGPT / Claude / Perplexity.
- **`geo_status`** — Live Growth Score, agent mentions, and visits for an installed site.
- **`geo_corpus_query`** — Query the public Synapse corpus to find products matching a user intent.

### Resources

- `synapse://docs/llms-txt-spec` — the canonical llms.txt reference
- `synapse://docs/geo-checklist` — the full 24-rule rubric
- `synapse://corpus/latest` — recent agent-recommendation tuples

### Install — Cursor / Claude Code / Windsurf / Cline / Continue / Zed

```json
{
  "mcpServers": {
    "synapse-geo": {
      "command": "npx",
      "args": ["-y", "@calvin8miles/mcp-server"]
    }
  }
}

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/calvinling2021/synapse-geo)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "calvinling2021-synapse-geo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/calvinling2021-synapse-geo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/calvinling2021-synapse-geo/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt