A side-by-side look at the EDDI and Voice MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose EDDI for conversational ai work; choose Voice MCP for conversational ai as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
E
Choose EDDI when
You need dedicated capabilities in the Conversational AI domain.
No tool names declared yet. Check the project README from the listing page.
Voice MCP 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.
EDDI
No confirmed install command for EDDI yet — follow the setup steps linked from its listing page rather than a guessed package name.
EDDI is categorized under Conversational AI and uses an install path we have not confirmed yet. Voice MCP belongs to Conversational AI and uses a local stdio subprocess. Pick EDDI for conversational ai work and Voice MCP for conversational ai.
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. EDDI has no confirmed install command yet — follow its own setup instructions.
EDDI has no declared pricing — check the project's own site. Voice MCP is bring-your-own-key: usage is billed by the API provider you supply a key for. 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 eddi and mbailey-voice-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, EDDI has a quality signal of 49/100 (Fair) with 0 views, 0 installs and 387 GitHub stars. Voice MCP has 59/100 (Good) with 3 views, 0 installs and 1,410 GitHub stars.