A side-by-side look at the Ekbasis and AI MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Ekbasis for developer tools work as a local process; choose AI for developer tools as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Ekbasis when
You need dedicated capabilities in the Developer Tools domain.
You prefer a local stdio subprocess transport.
You have the keys it needs: EKBASIS_URL, EKBASIS_API_KEY, EKBASIS_SHELL_GUARD.
No tool names declared yet. Check the project README from the listing page.
AI 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.
Ekbasis is categorized under Developer Tools and uses a local stdio subprocess. AI belongs to Developer Tools and uses a local stdio subprocess. Pick Ekbasis for developer tools work and AI for developer tools.
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.
Ekbasis has no declared pricing — check the project's own site. AI has no declared pricing — check the project's own site. 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 ekbasis and contentrain-ai as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Ekbasis has a quality signal of 39/100 (Fair) with 0 views, 0 installs and 19 GitHub stars. AI has 53/100 (Good) with 3 views, 0 installs and 6 GitHub stars.