MCP Openai vs Onomeo
A side-by-side look at the MCP Openai and Onomeo MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose MCP Openai for conversational ai work as a local process; choose Onomeo 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 MCP Openai when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
OPENAI_API_KEY. - You want tools like
messages, model.
Choose Onomeo when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
ONOMEO_API_KEY. - You want tools like
list_models, ask_model, compare_models.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Conversational AI | Conversational AI |
| Quality signal | 55/100 · Good | 51/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | API key required | Not declared |
| Pricing | BYOK (pay the provider) | Not declared |
| Required env vars | OPENAI_API_KEY | ONOMEO_API_KEY |
| Verified owner | Community listing | Community listing |
| GitHub stars | 77 | 0 |
| Directory activity | 6 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 2 | 3 |
| Full listing | View MCP Openai | View Onomeo |
Tools & capabilities
MCP Openai tools 2
messagesArray of messages (required)modelWhich model to use (optional, defaults to gpt-4o)
Onomeo tools 3
list_modelsLists the models served right now, split into free and pay-as-you-go, with the current free call limit. Needs no API key.ask_modelSends a prompt to one model and returns the answer. `model` defaults to `auto`, which picks a healthy free model and reports which one answered.compare_modelsSends the same prompt to 2-4 models in parallel and returns the answers side by side.
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.
MCP Openai
{
"mcpServers": {
"mzxrai-mcp-openai": {
"command": "npx",
"args": [
"-y",
"@mzxrai/mcp-openai@latest"
],
"env": {
"OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE"
}
}
}
}
Onomeo
{
"mcpServers": {
"onomeo": {
"command": "npx",
"args": [
"-y",
"github:Owaid0723666/onomeo-mcp"
],
"env": {
"ONOMEO_API_KEY": "YOUR_ONOMEO_API_KEY_HERE"
}
}
}
}
Frequently asked questions
MCP Openai is categorized under Conversational AI and uses a local stdio subprocess. Onomeo belongs to Conversational AI and uses a local stdio subprocess. Pick MCP Openai for conversational ai work and Onomeo 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.
MCP Openai is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: api key required. Onomeo 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 mzxrai-mcp-openai and onomeo as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, MCP Openai has a quality signal of 55/100 (Good) with 6 views, 0 installs and 77 GitHub stars. Onomeo has 51/100 (Good) with 1 views, 0 installs and 0 GitHub stars.