Hotato vs Trazum
A side-by-side look at the Hotato and Trazum MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Hotato for conversational ai work as a local process; choose Trazum 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?
Choose Hotato when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a local stdio subprocess transport.
Choose Trazum when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a local stdio subprocess transport.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Conversational AI | Conversational AI |
| Quality signal | 39/100 · Fair | 45/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 2 | 1 |
| Directory activity | 2 views 0 installs 0 upvotes | 0 views 0 installs 0 upvotes |
| Tools | Not listed | Not listed |
| Full listing | View Hotato | View Trazum |
Tools & capabilities
Hotato tools
No tool names declared yet. Check the project README from the listing page.
Trazum 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.
Hotato
{
"mcpServers": {
"hotato": {
"command": "uvx",
"args": [
"--from",
"hotato[mcp]",
"hotato-mcp"
]
}
}
}
Trazum
{
"mcpServers": {
"trazum": {
"command": "npx",
"args": [
"-y",
"@trazum/cli"
]
}
}
}
Frequently asked questions
Hotato is categorized under Conversational AI and uses a local stdio subprocess. Trazum belongs to Conversational AI and uses a local stdio subprocess. Pick Hotato for conversational ai work and Trazum 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.
Hotato has no declared pricing — check the project's own site. Trazum 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 hotato and trazum as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Hotato has a quality signal of 39/100 (Fair) with 2 views, 0 installs and 2 GitHub stars. Trazum has 45/100 (Fair) with 0 views, 0 installs and 1 GitHub stars.
