--- title: "Google Search Console MCP for JetBrains IDEs · GSC PAP" source: https://gscpap.com/integrations/jetbrains updated: 2026-09-18 --- [All integrations](https://gscpap.com/integrations) Integration · JetBrains IDEs # Connect JetBrains AI Assistant to Google Search Console 5 steps · about 5 minutes By the [GSC PAP team](https://gscpap.com/about) · Updated September 18, 2026 JetBrains AI Assistant can use Model Context Protocol (MCP) servers over STDIO, Streamable HTTP and SSE. You add them under Settings > Tools > AI Assistant > Model Context Protocol (MCP), the same page in IntelliJ IDEA, PyCharm, WebStorm, GoLand, RubyMine, PhpStorm and the other JetBrains IDEs that run AI Assistant. GSC PAP is a remote Streamable HTTP server that authenticates with a bearer token in the Authorization header. ## How to connect Google Search Console to JetBrains AI Assistant 1. ### Sign in to GSC PAP and copy your token Go to gscpap.com and click "Sign in with Google." Approve the read-only access it asks for. The connect page then shows your bearer token once, so copy it now. If you lose it, create a new one at app.gscpap.com/account/tokens; your other tokens keep working. 2. ### Open the MCP settings Go to Settings > Tools > AI Assistant > Model Context Protocol (MCP) and click Add. You can also get there by typing / in the AI Assistant chat and choosing Add Command. 3. ### Paste the gsc-pap configuration In the New MCP Server dialog, choose the URL-based (remote) connection and paste the JSON below with your token in place of YOUR_TOKEN. Set the server level to Global so it is available in every project, then click OK and Apply. Apply starts the server. ```json { "mcpServers": { "gsc-pap": { "url": "https://mcp.gscpap.com/mcp", "headers": { "Authorization": "Bearer YOUR_TOKEN" } } } } ``` 4. ### Check the status and ask a question The Status column shows whether AI Assistant connected. Click the icon in that column to see the tools gsc-pap provides. Then open the AI Assistant chat and ask: "What sites are in my Search Console? Give me the top 5 queries by clicks last week." AI Assistant calls the tools when they fit, or you can type / to run one directly. 5. ### If authentication fails, use a local bridge Only needed if step 4 shows "Missing or invalid bearer token" even with a fresh token. JetBrains documents remote servers with a url only and does not mention headers, so if your build does not send the header, replace the entry with this STDIO configuration. It runs the open-source mcp-remote package through npx (Node.js required), which forwards requests to GSC PAP and adds the header. Keep Authorization:${AUTH_HEADER} without spaces; the value with the space goes in env. ```json { "mcpServers": { "gsc-pap": { "command": "npx", "args": [ "-y", "mcp-remote", "https://mcp.gscpap.com/mcp", "--header", "Authorization:${AUTH_HEADER}" ], "env": { "AUTH_HEADER": "Bearer YOUR_TOKEN" } } } } ``` ## JetBrains MCP setup: common issues - "Missing or invalid bearer token" means the server did not receive a valid token. Create a new one at app.gscpap.com/account/tokens; if a fresh token still fails, use the bridge in step 5. - After you change a server's configuration, click Apply. To have new and changed servers start on their own, turn on Automatically enable new and changed MCP servers on the same settings page. - To reconnect, select gsc-pap and click Reconnect. To stop it, clear its checkbox and click Apply. - For logs, choose Help > Show Log in Finder (macOS) or Show Log in Explorer (Windows) and open the mcp folder. It holds one log per configured server. - If your organization manages AI Assistant centrally, an administrator may have preconfigured MCP servers and turned off adding your own. ## Frequently asked questions ### Which JetBrains IDEs can connect to Google Search Console? Any JetBrains IDE that runs AI Assistant, including IntelliJ IDEA, PyCharm, WebStorm, GoLand, RubyMine and PhpStorm. The Model Context Protocol (MCP) settings page is the same across them, so these steps apply to all of them. ### Do I need a Google Cloud project to use Search Console in IntelliJ or PyCharm? No. You skip the Google Cloud Console entirely: no project, no API to enable, no OAuth credentials to create. Sign in with Google at gscpap.com and paste the bearer token into the gsc-pap entry in AI Assistant's MCP settings. ### Can I reuse my Claude Desktop MCP setup? Yes. The MCP settings page has an Import from Claude button that adds the servers from your Claude Desktop configuration to the list, including a gsc-pap entry if you already set one up there. ## Other integrations [All integrations](https://gscpap.com/integrations) [ ### Claude Desktop Connect Claude Desktop to Google Search Console without creating a Google Cloud project. Sign in with Google, paste one config block, restart Claude. 6 steps · 6 min read ](https://gscpap.com/integrations/claude-desktop)[ ### Cursor Connect Google Search Console to Cursor through a hosted MCP server. Sign in with Google, paste one token into mcp.json, and skip the Google Cloud project. 5 steps · 5 min read ](https://gscpap.com/integrations/cursor)[ ### Claude Code Add Google Search Console to Claude Code with one claude mcp add command. Hosted and read-only: no Google Cloud project, no OAuth credentials, no Python. 3 steps · 3 min read ](https://gscpap.com/integrations/claude-code)[ ### Codex CLI (OpenAI) Add Google Search Console, GA4 and PageSpeed data to OpenAI's Codex CLI with one TOML block and a bearer token. You never create a Google Cloud project. 4 steps · 4 min read ](https://gscpap.com/integrations/codex-cli)[ ### VS Code (GitHub Copilot) Connect Google Search Console to GitHub Copilot in VS Code with one .vscode/mcp.json entry, then ask agent mode about GSC. You skip Google Cloud setup. 4 steps · 4 min read ](https://gscpap.com/integrations/vscode-copilot)[ ### Gemini CLI (Google) Query Google Search Console (GSC) from your terminal with Gemini CLI. Register GSC PAP as an MCP server in settings.json, with no Google Cloud project. 5 steps · 5 min read ](https://gscpap.com/integrations/gemini-cli)[ ### Windsurf (Devin Desktop) Give Windsurf, now Devin Desktop, your Google Search Console data. Add GSC PAP as a remote MCP server with one bearer token and no Google Cloud project. 4 steps · 5 min read ](https://gscpap.com/integrations/windsurf)[ ### Zed Editor Bring Google Search Console into Zed's AI assistant as an MCP context server. You add one settings.json block and a token, with no Google Cloud setup. 3 steps · 4 min read ](https://gscpap.com/integrations/zed)[ ### Continue (extension) Continue MCP setup for Google Search Console: add one mcpServers entry with a bearer token in VS Code or JetBrains. You do not need a Google Cloud project. 4 steps · 4 min read ](https://gscpap.com/integrations/continue)[ ### Claude.ai (browser) Add Google Search Console to Claude.ai as a custom connector. Paste one URL and approve access. No token to copy, no config file, no Google Cloud project. 3 steps · 3 min read ](https://gscpap.com/integrations/claude-ai-connectors)[ ### Direct HTTP (curl, custom agents) Call the GSC PAP MCP server from curl or your own agent. It is JSON-RPC over HTTP with a bearer token, so you need no MCP client or Google Cloud project. 4 steps · 5 min read ](https://gscpap.com/integrations/mcp-direct)[ ### opencode Add Google Search Console to opencode as a remote MCP server. One config block with your token, no Google Cloud project, no local server to run. 5 steps · 5 min read ](https://gscpap.com/integrations/opencode)[ ### Cline Add Google Search Console to Cline in VS Code or the Cline CLI as a remote MCP server. One token, no Google Cloud project, read-only access. 5 steps · 5 min read ](https://gscpap.com/integrations/cline)[ ### Warp Add Google Search Console to Warp's agent as a remote MCP server. Paste one JSON block with your token, press Start, and ask about your traffic in the terminal. 5 steps · 4 min read ](https://gscpap.com/integrations/warp)[ ### LM Studio Give a local model your Search Console data. Add GSC PAP to LM Studio's mcp.json as a remote server, with one token and no Google Cloud project. 5 steps · 5 min read ](https://gscpap.com/integrations/lm-studio)[ ### ChatGPT Add Google Search Console to ChatGPT as a custom MCP server. What the setup looks like, and the plan requirement that decides whether you can do it at all. 5 steps · 6 min read ](https://gscpap.com/integrations/chatgpt)[ ### Goose Add Google Search Console to Goose as a streamable_http extension. One block in config.yaml with your token, no Google Cloud project, read-only access. 5 steps · 5 min read ](https://gscpap.com/integrations/goose)[ ### Google Antigravity Add Search Console to Google Antigravity as a custom MCP server. It handles dynamic client registration, so the setup is a URL and a sign-in, with no token. 5 steps · 5 min read ](https://gscpap.com/integrations/antigravity)[ ### Roo Code Add Google Search Console to Roo Code in VS Code as a streamable-http MCP server. One block with your token, no Google Cloud project, read-only. 5 steps · 5 min read ](https://gscpap.com/integrations/roo-code)[ ### Kilo Code Add Google Search Console to Kilo Code as a remote MCP server. It can negotiate OAuth for you, or take a bearer token. No Google Cloud project either way. 5 steps · 5 min read ](https://gscpap.com/integrations/kilo-code)[ ### Amp Add Google Search Console to Amp as a remote MCP server, in settings or with one CLI command. No Google Cloud project, read-only scopes. 5 steps · 5 min read ](https://gscpap.com/integrations/amp)[ ### Kiro Add Google Search Console to Kiro as a remote MCP server. One entry in mcp.json, the token read from an approved environment variable, read-only access. 5 steps · 5 min read ](https://gscpap.com/integrations/kiro)[ ### Raycast Add Google Search Console to Raycast AI as an HTTP MCP server. Dynamic OAuth means no token to paste, and HTTP servers work on Raycast for iOS too. 5 steps · 4 min read ](https://gscpap.com/integrations/raycast)[ ### GitHub Copilot CLI Add Google Search Console to GitHub Copilot CLI with one command or one JSON entry. Remote HTTP transport, your token in a header, read-only access. 5 steps · 5 min read ](https://gscpap.com/integrations/copilot-cli)[ ### n8n Give an n8n AI Agent your Search Console data through the MCP Client Tool node, and schedule the SEO report you keep meaning to write. 6 steps · 6 min read ](https://gscpap.com/integrations/n8n)[ ### LibreChat Add GSC PAP to librechat.yaml as a streamable-http MCP server, and give every user on your install their own Search Console access rather than a shared one. 6 steps · 6 min read ](https://gscpap.com/integrations/librechat) ### Top tools to try first in JetBrains IDEs The MCP exposes 36 tools across 9 categories. These are the ones most relevant to this page: - [list_sites](https://gscpap.com/tools#list_sites) · List every Search Console property you have access to, with verification state and permission level. - [get_performance_overview](https://gscpap.com/tools#get_performance_overview) · High-level performance snapshot for a site: clicks, impressions, CTR, position over the last N days. - [find_quick_wins](https://gscpap.com/tools#find_quick_wins) · Find queries ranking positions 5 to 20 with at least 100 impressions but under 5% CTR: the title and snippet fixes most likely to lift clicks. - [search_analytics_query](https://gscpap.com/tools#search_analytics_query) · Run any Search Analytics query with full dimension and filter support, identical to what you'd hit the GSC API for, but inline in chat. [Browse all 36 tools](https://gscpap.com/tools) Done. Your AI client now has access to your Search Console data. Got stuck? Email [support@gscpap.com](mailto:support@gscpap.com) with the error and we will revise the guide.