A side-by-side look at the Beever Atlas and Tela MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Beever Atlas for knowledge & memory work over a hosted endpoint; choose Tela for knowledge & memory as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Beever Atlas when
You need dedicated capabilities in the Knowledge & Memory domain.
No tool names declared yet. Check the project README from the listing page.
Tela tools
No tool names declared yet. Check the project README from the listing page.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Beever Atlas is categorized under Knowledge & Memory and uses a remote HTTP/SSE transport. Tela belongs to Knowledge & Memory and uses a local stdio subprocess. Pick Beever Atlas for knowledge & memory work and Tela for knowledge & memory.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Beever Atlas is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: api key required. Tela is listed as free. Auth: api key required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add beever-ai-beever-atlas and zcag-tela as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Beever Atlas has a quality signal of 59/100 (Good) with 4 views, 0 installs and 450 GitHub stars. Tela has 61/100 (Good) with 4 views, 0 installs and 83 GitHub stars.