Remote MCP Servers
Most developer tooling work still happens through a UI a human drives. Awesome Remote MCP Servers MCP server moves it into the conversation instead. Remote MCP Servers.
A curated, opinionated list of high-quality remote Model Context Protocol (MCP) servers. This repository focuses on listing official and well-maintained MCP servers that can be accessed over the internet, helping developers discover reliable and production-ready services for their AI applications.
Model Context Protocol (MCP) is a protocol that enables AI models to interact with external tools and resources. Remote MCP servers allow clients to securely connect to these services over the internet.
Because this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.
Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by jaw9c; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Awesome Remote MCP Servers's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
{
"mcpServers": {
"test": {
"url": "https://mcp.my-awesome-server.com/sse"
}
}
}Configuration as documented by the project. Restart the client after saving.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Microsoft's official browser automation server — drive a real browser through the accessibility tree, no screenshots needed.
GitHub's official server — repos, issues, pull requests, Actions and code security, straight from your assistant.
Issue tracking at the speed of conversation — Linear's official hosted server with OAuth and zero install.
Local repository surgery — status, diffs, commits, branches and history for any repo on disk.
Timezone sanity for AI — current time anywhere and correct conversions, without the model doing date math.