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Merge pull request #2299 from igortikushEasync/main
Add GoLogin MCP Server
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@@ -165,6 +165,7 @@ Official integrations are maintained by companies building production ready MCP
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- <img height="12" width="12" src="https://cdn.jsdelivr.net/gh/jsdelivr/globalping-media@refs/heads/master/icons/android-chrome-192x192.png" alt="Globalping Logo" /> **[Globalping](https://github.com/jsdelivr/globalping-mcp-server)** - Access a network of thousands of probes to run network commands like ping, traceroute, mtr, http and DNS resolve.
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- <img height="12" width="12" src="https://gnucleus.ai/favicon.ico" alt="gNucleus Logo" /> **[gNucleus Text-To-CAD](https://github.com/gNucleus/text-to-cad-mcp)** - Generate CAD parts and assemblies from text using gNucleus AI models.
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- <img height="12" width="12" src="https://www.gstatic.com/cgc/favicon.ico" alt="Google Cloud Logo" /> **[Google Cloud Run](https://github.com/GoogleCloudPlatform/cloud-run-mcp)** - Deploy code to Google Cloud Run
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- <img height="12" width="12" src="https://api.gologin.com/favicon.ico" alt="GoLogin Logo" /> **[GoLogin MCP server](https://github.com/gologinapp/gologin-mcp)** - Manage your GoLogin browser profiles and automation directly through AI conversations!
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- <img height="12" width="12" src="https://cdn.prod.website-files.com/6605a2979ff17b2cd1939cd4/6605a460de47e7596ed84f06_icon256.png" alt="gotoHuman Logo" /> **[gotoHuman](https://github.com/gotohuman/gotohuman-mcp-server)** - Human-in-the-loop platform - Allow AI agents and automations to send requests for approval to your [gotoHuman](https://www.gotohuman.com) inbox.
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- <img height="12" width="12" src="https://grafana.com/favicon.ico" alt="Grafana Logo" /> **[Grafana](https://github.com/grafana/mcp-grafana)** - Search dashboards, investigate incidents and query datasources in your Grafana instance
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- <img height="12" width="12" src="https://grafbase.com/favicon.ico" alt="Grafbase Logo" /> **[Grafbase](https://github.com/grafbase/grafbase/tree/main/crates/mcp)** - Turn your GraphQL API into an efficient MCP server with schema intelligence in a single command.
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