Gpt Chat vs Gammainfra MCP Server
A side-by-side look at the Gpt Chat and Gammainfra MCP Server MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Gpt Chat for conversational ai work; choose Gammainfra MCP Server 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 Gpt Chat when
- You need dedicated capabilities in the Conversational AI domain.
- You want tools like
chat, chat_with_vision, embedding.
Choose Gammainfra MCP Server when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
GAMMAINFRA_API_KEY, GAMMAINFRA_BASE_URL. - You want tools like
model, messages, temperature.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Conversational AI | Conversational AI |
| Quality signal | 43/100 · Fair | 49/100 · Fair |
| Install command | Not confirmed yet | Confirmed |
| Transport | — | Local subprocess (stdio) |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | None listed | GAMMAINFRA_API_KEYGAMMAINFRA_BASE_URL |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 0 |
| Directory activity | 0 views 0 installs 0 upvotes | 0 views 0 installs 0 upvotes |
| Tools | 14 | 10 |
| Full listing | View Gpt Chat | View Gammainfra MCP Server |
Tools & capabilities
Gpt Chat tools 14
chatSend a chat completion request to ChatGPT with optional multi-turn history, system prompt, structured output (JSON schema), and model selectionchat_with_visionAnalyse an image with ChatGPT's vision capabilities given an image URL and text promptembeddingGenerate text embeddings using OpenAI's embedding modellist_modelsList all available OpenAI models and their IDspromptThe user message to sendmodelModel to use (default: `gpt-4o`)system_promptSystem prompt to set contextmessagesFull conversation history as JSON array of `{role, content}` objectstemperatureSampling temperature (0.0 - 2.0)max_tokensMaximum tokens to generateresponse_schemaJSON schema string to enforce structured outputimage_urlURL of the image (must be http:// or https://)- +2 more on the listing page
Gammainfra MCP Server tools 10
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.
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.
Gpt Chat
No confirmed install command for Gpt Chat yet — follow the setup steps linked from its listing page rather than a guessed package name.
Gammainfra MCP Server
{
"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"
}
}
}
}
Frequently asked questions
Gpt Chat is categorized under Conversational AI and uses an install path we have not confirmed yet. Gammainfra MCP Server belongs to Conversational AI and uses a local stdio subprocess. Pick Gpt Chat for conversational ai work and Gammainfra MCP Server 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. Gpt Chat has no confirmed install command yet — follow its own setup instructions.
Gpt Chat has no declared pricing — check the project's own site. Gammainfra MCP Server 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 gpt-chat and mcp-server-27 as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Gpt Chat has a quality signal of 43/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. Gammainfra MCP Server has 49/100 (Fair) with 0 views, 0 installs and 0 GitHub stars.