georanker-mcp
GeoRanker Model Context Protocol server - SEO and keyword research tools for MCP-compatible applications
Documentation
GeoRanker MCP Server (AI‑Agent Optimized)
An agent-friendly Model Context Protocol (MCP) server for the GeoRanker High‑Volume API.
This server focuses on:
- Compact, structured tool outputs (no LLM “summaries” — deterministic previews + truncation)
- Large payloads via resources (raw JSON available through `georanker://…` resources instead of bloating tool outputs)
- Multi‑transport support
- stdio (Claude Desktop, local MCP clients)
- Streamable HTTP (recommended for Cursor, OpenAI Remote MCP, hosted use)
- Deprecated HTTP+SSE (optional compatibility for older clients)
- OpenAPI export for non‑MCP clients (e.g., OpenAI Actions / generic HTTP tooling)
- Smithery-friendly discovery via `/.well-known/mcp/server-card.json`
What’s new vs older versions
Agent-optimized output
Tool responses are now:
- Deterministically shaped (top-N previews, key fields extracted)
- Truncated safely (string/array/object caps)
- Structured (JSON output + `structuredContent`)
- Raw data accessible on-demand via resources like:
- `georanker://serp/{id}`
- `georanker://keywords/{id}`
- `georanker://regions`
Multi-platform
Run the same server for:
- Claude Desktop (stdio)
- Cursor (Streamable HTTP)
- OpenAI Remote MCP (Streamable HTTP or HTTP+SSE)
- LangChain / any Node app (via MCP client OR OpenAPI endpoints)
Install
npm i -g georanker-mcp
# or run without install:
npx georanker-mcp --helpConfiguration
Environment variables
GEORANKER_API_KEY=your_key_here
GEORANKER_API_BASE_URL=https://api.highvolume.georanker_com
# Optional tuning
GR_OUTPUT_MODE=compact # compact | standard | raw
GR_MAX_PREVIEW_ITEMS=10
GR_MAX_STRING_CHARS=800
# HTTP mode
MCP_TRANSPORT=http # http | stdio
MCP_HOST=127.0.0.1
MCP_PORT=3333
MCP_PATH=/mcp
MCP_ENABLE_DEPRECATED_SSE=true # enables /sse + /messages
MCP_AUTH_TOKEN= # optional bearer token
MCP_PUBLIC_URL= # optional public https url used in server card/openapiCLI flags (override env vars)
georanker-mcp --apikey YOUR_KEY
georanker-mcp --transport http --host 127.0.0.1 --port 3333 --path /mcp
georanker-mcp --transport http --auth-token mysecret
georanker-mcp --legacy # expose deprecated snake_case tool namesRun
1) stdio mode (Claude Desktop / local)
GEORANKER_API_KEY=... georanker-mcp2) HTTP mode (recommended for Cursor / hosted)
GEORANKER_API_KEY=... georanker-mcp --transport http --port 3333Endpoints:
- MCP Streamable HTTP: `http://127.0.0.1:3333/mcp`
- Deprecated SSE: `http://127.0.0.1:3333/sse` (and `POST /messages`)
- OpenAPI: `http://127.0.0.1:3333/openapi.json`
- Server Card: `http://127.0.0.1:3333/.well-known/mcp/server-card.json`
Integration Targets
Claude Desktop (stdio)
Add to your Claude Desktop config:
{
"mcpServers": {
"georanker": {
"command": "npx",
"args": ["-y", "georanker-mcp"],
"env": {
"GEORANKER_API_KEY": "YOUR_KEY"
}
}
}
}Cursor (Streamable HTTP)
1. Run the server in HTTP mode (`--transport http`)
2. In Cursor, add an MCP server with URL:
OpenAI (Remote MCP)
Deploy the HTTP server to a public HTTPS URL, then configure a remote MCP tool pointing to:
- `https://your-host/mcp` (Streamable HTTP)
- or `https://your-host/sse` (deprecated HTTP+SSE)
LangChain / Node apps
Option A: use an MCP client to connect to the MCP endpoint.
Option B: call the OpenAPI endpoints under `/api/v1/*`.
Tool Names (new)
The recommended tool names are namespaced:
- `georanker_serp.create`
- `georanker_serp.get`
- `georanker_serp.delete`
- `georanker_serp.batch_create`
- `georanker_serp.batch_get`
- `georanker_serp.compare_locations`
- `georanker_keywords.create`
- `georanker_keywords.get`
- `georanker_keywords.delete`
- `georanker_keywords.batch_create`
- `georanker_keywords.batch_get`
- `georanker_keywords.suggest`
- `georanker_domain.whois`
- `georanker_domain.technologies`
- `georanker_regions.list`
- `georanker_account.get`
- `georanker_health.check`
Legacy tool names
Set `GR_ENABLE_LEGACY_TOOL_NAMES=true` or run with `--legacy` to also expose the old snake_case tools.
Output Format
All tools return compact JSON shaped like:
{
"ok": true,
"action": "georanker_serp.get",
"generated_at": "2026-02-19T12:00:00.000Z",
"request": { "id": "..." },
"data": { "...compact preview..." },
"links": { "raw_resource": "georanker://serp/..." }
}If a tool fails, it returns `ok:false` and the MCP tool result will include `isError:true`.
Publishing
npm
1. Build:
npm run build2. Login:
npm login3. Publish:
npm publish --access publicSmithery MCP Registry
URL publish (recommended for hosted servers):
- Make sure Streamable HTTP is available at `/mcp`
- Ensure server card exists at `/.well-known/mcp/server-card.json`
Then publish from the Smithery UI or via CLI:
smithery mcp publish "https://your-host/mcp" -n @lucas111112/georanker-mcpLocal publish (stdio):
smithery mcp publish --name @lucas111112/georanker-mcp --transport stdioLicense
MIT
Frequently asked questions
What is georanker-mcp?
georanker-mcp is GeoRanker Model Context Protocol server - SEO and keyword research tools for MCP-compatible applications
How do I install georanker-mcp?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is georanker-mcp open source?
Yes — it is hosted on GitHub at https://github.com/lucas111112/georanker-mcp and has 1 stars.
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