A side-by-side look at the Gammainfra MCP Server and MCP Openai MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Gammainfra MCP Server for conversational ai work as a local process; choose MCP Openai for conversational ai as a local process. You can also run both side by side in one mcpServers block.
GAMMAINFRA_API_KEY, GAMMAINFRA_BASE_URL.model, messages, temperature.OPENAI_API_KEY.messages, model.Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Conversational AI | Conversational AI |
| Quality signal | 49/100 · Fair | 55/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | API key required |
| Pricing | Not declared | BYOK (pay the provider) |
| Required env vars | GAMMAINFRA_API_KEYGAMMAINFRA_BASE_URL | OPENAI_API_KEY |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 77 |
| Directory activity | 0 views 0 installs 0 upvotes | 5 views 0 installs 0 upvotes |
| Tools | 10 | 2 |
| Full listing | View Gammainfra MCP Server | View MCP Openai |
modelgammainfra/auto` for smart routing, `gammainfra/fast`/`gammainfra/cheap` for tier shortcuts, or pin a specific model like `openai/gpt-5-mini`.messagesOpenAI-shape conversation messages.temperature0..2.max_tokensmax_completion_tokensGPT-5 family requires this instead of `max_tokens`.cost_quality0.0..1.0 continuous dial. Sent as `X-GammaInfra-Cost-Quality`.max_latency_ms60..600000. Caps total wall-clock incl. fallback retries. Also enforced client-side as a hard request abort.preferencequality`, `cost`, or `latency`.regionus`, `eu`, `apac`, or specific AWS region.include_byokDefault `false`. Also fetch the BYOK balance. Off by default to avoid an extra request — and a guaranteed 404 — for customers without BYOK enrollment.messagesArray of messages (required)modelWhich model to use (optional, defaults to gpt-4o)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.
{
"mcpServers": {
"mcp-server-27": {
"command": "npx",
"args": [
"-y",
"@gammainfra/mcp-server"
],
"env": {
"GAMMAINFRA_API_KEY": "YOUR_GAMMAINFRA_API_KEY_HERE",
"GAMMAINFRA_BASE_URL": "YOUR_GAMMAINFRA_BASE_URL_HERE"
}
}
}
}
{
"mcpServers": {
"mzxrai-mcp-openai": {
"command": "npx",
"args": [
"-y",
"@mzxrai/mcp-openai@latest"
],
"env": {
"OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE"
}
}
}
}