# OpenSEO — MCP Server

> Keyword research, SERP data, rank tracking and Search Console metrics, from chat.

**Source:** https://mcpplaygroundonline.com/mcp-servers/openseo  
**Transport:** http  
**Requires auth:** Yes

---

## What it does

The OpenSEO MCP is aimed at anyone who currently does SEO research by pivoting between a keyword tool, a SERP checker and Search Console. Instead of exporting three CSVs, you ask a question once and the model gathers what it needs across the tools. It covers the classic organic workflow — keyword discovery with volume, difficulty and CPC, which keywords a domain already ranks for, what competitors occupy a SERP — and a full local pack: Google Business Profile audits, Maps rank grids around a location, review collection and business category lookups. Project context is shared across calls, so the model keeps your business, goals and competitor set in mind between questions.

## Tools exposed

- Keyword research and hydration — volume, difficulty, CPC, intent and trend data
- Live Google SERP fetching and competitor comparison across keyword sets
- Domain analysis — ranking keywords, organic footprint summary and backlink overview
- Google Search Console performance (clicks, impressions, CTR, position) and URL inspection
- Local SEO — business search, Google Business Profile audits, Maps rank grids and reviews
- Project context and saved keyword lists shared across every call

## Example queries you can run

- "Find 20 low-difficulty keywords related to "mcp server testing" with volume above 100."
- "Which keywords does my domain already rank for on page 2, and what is the traffic upside?"
- "Compare the top 10 SERP competitors for my three main keywords and tell me what they have in common."
- "Pull Search Console clicks and impressions for the last 28 days and flag pages losing position."
- "Audit my Google Business Profile and check my Maps rank grid within 5km of the storefront."

## Details

- **Recommended model:** anthropic/claude-sonnet-4.5 — Claude Sonnet 4.5 handles multi-step research well — chaining keyword lookups into SERP checks and summarising the result. Haiku 4.5 is enough for single metric fetches.
- **Transport:** http
- **Authentication:** Required — OAuth by default — the first connection sends you through OpenSEO login. For headless clients, create a personal API key under Settings → API keys and send it as a bearer token.
- **Hosted endpoint:** https://app.openseo.so/mcp
- **Official source:** [OpenSEO MCP documentation](https://openseo.so/docs/mcp)

## Connecting to OpenSEO

URL format:

```
https://app.openseo.so/mcp
```

### Connection examples

**Bearer token (headless clients)**

```
Authorization: Bearer oseo_YOUR_KEY
```

Create the key in the OpenSEO app under Settings → API keys.

**API key header (alternative)**

```
x-api-key: oseo_YOUR_KEY
```

Equivalent to the bearer form — use whichever your client supports.

### Client configuration

**Claude Code**

Runs the OAuth flow on first use.

```
claude mcp add --transport http --scope user openseo https://app.openseo.so/mcp
```

**Cursor (mcp.json)**

```
{
  "mcpServers": {
    "openseo": {
      "url": "https://app.openseo.so/mcp"
    }
  }
}
```

**Codex CLI**

```
codex mcp add openseo --url https://app.openseo.so/mcp
```

## Frequently asked questions

### What is the OpenSEO MCP server?

It is a hosted remote MCP that OpenSEO operates at app.openseo.so/mcp, exposing its SEO research platform — keyword metrics, live SERPs, rank tracking, backlinks and Google Search Console data — as tools an AI model can call directly, instead of you exporting reports and pasting them into a chat.

### How do I authenticate with the OpenSEO MCP server?

OAuth is the default: the first connection sends you through OpenSEO login, and after you authorise it the client can call tools with the project context and account scopes you approved. For headless environments where a browser flow is not practical, create a personal API key in the OpenSEO app under Settings → API keys and send it as `Authorization: Bearer oseo_YOUR_KEY`, or as an `x-api-key` header.

### What can it do that a normal keyword tool cannot?

The value is chaining. A keyword tool answers one question per export; through MCP a model can discover keywords, check which ones you already rank for, pull the live SERP for the promising ones, and cross-reference Search Console performance — in a single request, keeping your project context throughout.

### Does it cover local SEO as well as organic?

Yes. Alongside the organic tools it exposes local business search by coordinates, Google Business Profile audits (categories, ratings, hours, photos, claim status), Maps SERP and Business Q&A, review collection, valid business category lookups, and a Maps rank grid check around a business location.

### How do I test the OpenSEO MCP server in the browser?

Open MCP Agent Studio, paste https://app.openseo.so/mcp as the server URL, add your OpenSEO API key, pick a model and start asking research questions. Every tool call is shown inline with its full JSON input and output, so you can see exactly which SEO tool the model reached for and what came back.

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_Test this server across 40+ models on MCP Playground: https://mcpplaygroundonline.com/mcp-servers/openseo — free, no install._