MCP Openai vs Synap
A side-by-side look at the MCP Openai and Synap MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
S
SynapConversational AISynap (pool.linkrra.com/v1), Linkrra's OpenAI-compatible LLM API, as an MCP server.38FairAuth: not declaredVerdict: choose MCP Openai for conversational ai work as a local process; choose Synap for conversational ai. 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.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | S Synap | |
|---|---|---|
| Category | Conversational AI | Conversational AI |
| Quality signal | 55/100 · Good | 38/100 · Fair |
| Install command | Confirmed | Not confirmed yet |
| Transport | Local subprocess (stdio) | — |
| Auth | API key required | Not declared |
| Pricing | BYOK (pay the provider) | Not declared |
| Required env vars | OPENAI_API_KEY | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 77 | — |
| Directory activity | 5 views 0 installs 0 upvotes | 0 views 0 installs 0 upvotes |
| Tools | 2 | Not listed |
| Full listing | View MCP Openai | View Synap |
Tools & capabilities
MCP Openai tools 2
messagesArray of messages (required)modelWhich model to use (optional, defaults to gpt-4o)
Synap 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.
MCP Openai
{
"mcpServers": {
"mzxrai-mcp-openai": {
"command": "npx",
"args": [
"-y",
"@mzxrai/mcp-openai@latest"
],
"env": {
"OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE"
}
}
}
}
Synap
No confirmed install command for Synap yet — follow the setup steps linked from its listing page rather than a guessed package name.
Frequently asked questions
MCP Openai is categorized under Conversational AI and uses a local stdio subprocess. Synap belongs to Conversational AI and uses an install path we have not confirmed yet. Pick MCP Openai for conversational ai work and Synap 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. Synap has no confirmed install command yet — follow its own setup instructions.
MCP Openai is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: api key required. Synap 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 synap 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 5 views, 0 installs and 77 GitHub stars. Synap has 38/100 (Fair) with 0 views, 0 installs and 0 GitHub stars.