SEOforGPT MCP Server
Enables AI-driven brand visibility monitoring and SEO project management via the SEOforGPT API. Users can execute brand visibility checks, list projects, and retrieve detailed visibility reports through natural language interactions.
README
SEOforGPT MCP Server
Remote MCP server for SEOforGPT, built with Node.js, TypeScript, @modelcontextprotocol/sdk, and Cloudflare Workers using the streamable-http transport.
Features
list_projects: list all SEOforGPT projects for the configured API keycheck_brand_visibility: run custom AI visibility checks for a brand across 3 to 5 promptsrun_project_analysis: run saved prompts for an existing SEOforGPT projectget_visibility_report: fetch a full previously generated report
Quick start
SEOFORGPT_API_KEY=sgpt_xxx
Install dependencies and build:
npm install
npm run build
Run locally with Cloudflare Workers:
npm run dev
Deploy when you have your Cloudflare credentials available:
npm run deploy
Configuration
The server expects one environment variable:
SEOFORGPT_API_KEY: your SEOforGPT API key, sent to the upstream API asAuthorization: Bearer <SEOFORGPT_API_KEY>
For local or deployed Worker environments, you can set it in wrangler.toml, via wrangler secret put SEOFORGPT_API_KEY, or through your deployment environment.
Endpoints
GET /: basic server metadataGET /health: health checkPOST /mcp: MCP streamable HTTP endpoint
Claude Desktop config
{
"mcpServers": {
"seoforgpt": {
"command": "npx",
"args": ["-y", "seoforgpt-mcp"],
"env": { "SEOFORGPT_API_KEY": "sgpt_your_key_here" }
}
}
}
Smithery URL
https://seoforgpt-mcp.workers.dev
Tool usage examples
1. List projects
{
"name": "list_projects",
"arguments": {}
}
2. Check brand visibility
{
"name": "check_brand_visibility",
"arguments": {
"brand": "Acme",
"queries": [
"Best CRM for small businesses",
"Top alternatives to HubSpot for startups",
"Which sales tools are best for B2B teams"
]
}
}
3. Run a saved project analysis
{
"name": "run_project_analysis",
"arguments": {
"projectId": "proj_123"
}
}
4. Get a report
{
"name": "get_visibility_report",
"arguments": {
"reportId": "report_123"
}
}
Development notes
- The implementation is stateless and creates a fresh MCP server per request, which fits Cloudflare Workers well.
- All tool failures are normalized to
{ "error": "...", "details": "..." }so the Worker does not crash on upstream API failures. - The server uses
process.env.SEOFORGPT_API_KEYwith anenvbinding fallback for Worker compatibility.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.