ScopeAI MCP

ScopeAI provides a GEO (Generative Engine Optimization) observation tool that allows AI assistants to diagnose brand visibility in AI-generated answers. The server enables agents to match requirements, obtain quotes, execute authorized observations on specific models, and read structured answers with citation evidence to help improve brand presence in generative search.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-18Operated by ScopeAI

MCP endpoint (Streamable HTTP)

https://scopeai.cc/mcp

Vendor documentation

What you can do with it

Diagnose brand visibility in AI model responses
Match optimization requirements for free
Execute authorized GEO observation tasks
Read structured answers and citation sources

Tools advertised by the last live check:

geo_describe_service
geo_match_request
geo_prepare_optimization
geo_list_targets
geo_create_project
geo_quote_observation
geo_accept_observation
geo_get_observation
geo_get_answers
geo_get_sources
geo_cancel_observation

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http scopeai-mcp https://scopeai.cc/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add scopeai-mcp --url https://scopeai.cc/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable scopeai-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "scopeai-mcp": {
      "url": "https://scopeai.cc/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "scopeai-mcp": {
      "type": "streamableHttp",
      "url": "https://scopeai.cc/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start scopeai-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "scopeai-mcp": {
      "type": "http",
      "url": "https://scopeai.cc/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http scopeai-mcp https://scopeai.cc/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "scopeai-mcp": {
      "url": "https://scopeai.cc/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "scopeai-mcp": {
      "serverUrl": "https://scopeai.cc/mcp"
    }
  }
}

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