Agenttune vs Voicemode

A side-by-side look at the Agenttune and Voicemode MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Agenttune logoAgenttuneConversational AI · Remote HTTP/SSEPersonality tuning files for AI agents: 43 MIT-licensed tunings + 5 inline personality tests.57GoodAuth: not declaredVoicemode logoVoicemodeConversational AI · Local subprocess (stdio)Natural voice conversations for AI assistants - STT/TTS via MCP47FairAuth: not declared

Verdict: choose Agenttune for conversational ai work over a hosted endpoint; choose Voicemode 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?

Agenttune logoChoose Agenttune when

  • You need dedicated capabilities in the Conversational AI domain.
  • You prefer a remote HTTP/SSE transport.
  • You want tools like get_free_tools, list_tunings, get_tuning.
Explore Agenttune

Voicemode logoChoose Voicemode when

  • You need dedicated capabilities in the Conversational AI domain.
  • You prefer a local stdio subprocess transport.
Explore Voicemode

Feature & specification comparison

Rows where the two servers differ are marked.

SpecAgenttune logoAgenttuneVoicemode logoVoicemode
CategoryConversational AIConversational AI
Quality signal57/100 · Good47/100 · Fair
Install commandConfirmedConfirmed
TransportRemote HTTP/SSELocal subprocess (stdio)
AuthNot declaredNot declared
PricingNot declaredNot declared
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars01,417
Directory activity 0 views 0 installs 0 upvotes 1 views 0 installs 0 upvotes
Tools6Not listed

Tools & capabilities

Agenttune tools 6

  • get_free_toolsReturn the free browser tools catalog, destination registry, and local JavaScript API documentation. No personal data is accepted. Download the functions to process instructions locally; this call does not run models or install preferences.
  • list_tuningsCatalog of all 43 AgentTune personality tuning files (slug, code, name, one-line blurb), optionally filtered by system. Use it to resolve a user's personality type to the right slug before calling get_tuning.
  • get_tuningFetch one tuning file as Markdown with YAML front-matter. The front-matter links to the shared platform registry and installation protocol. structuredContent.body is the preference text; metadata stays separate. Confirmation of saved text is distinct from evaluation of behavior. MIT licensed.
  • get_test_specFetch a complete questionnaire specification for mbti (32 items), enneagram (36), disc (16), attachment (36) or big-five (50). All five are available, with exact instrument/version IDs, response anchors and strict scoring instructions. The first four preserve the legacy AgentTune adaptations; instrument-specific source terms apply. Administer only when requested, keep responses local, preserve ties, and let users review any suggested communication preferences before installation.
  • list_resourcesSearch the versioned catalog of setup guides, templates, protocols and research. Returns canonical URLs, Markdown URLs, revisions and evidence status.
  • get_resourceRetrieve one page-specific Markdown resource by the exact ID from list_resources; includes provenance and evidence status.

Voicemode 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.

Agenttune

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "agenttune": {
      "url": "https://agent-tune.com/mcp"
    }
  }
}

Voicemode

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "voicemode": {
      "command": "uvx",
      "args": [
        "--refresh",
        "--from",
        "voice-mode",
        "voicemode-mcp-launcher"
      ]
    }
  }
}

Frequently asked questions

Agenttune is categorized under Conversational AI and uses a remote HTTP/SSE transport. Voicemode belongs to Conversational AI and uses a local stdio subprocess. Pick Agenttune for conversational ai work and Voicemode 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.

Agenttune has no declared pricing — check the project's own site. Voicemode 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 agenttune and voicemode as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Agenttune has a quality signal of 57/100 (Good) with 0 views, 0 installs and 0 GitHub stars. Voicemode has 47/100 (Fair) with 1 views, 0 installs and 1,417 GitHub stars.