MCP Simple Openai Assistant vs CompletionKit
A side-by-side look at the MCP Simple Openai Assistant and CompletionKit MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose MCP Simple Openai Assistant for conversational ai work as a local process; choose CompletionKit for conversational ai over a hosted endpoint. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose MCP Simple Openai Assistant 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
create_assistant, list_assistants, retrieve_assistant.
Choose CompletionKit when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a remote HTTP/SSE transport.
- You have the keys it needs:
COMPLETION_KIT_ENCRYPTION_PRIMARY_KEY, COMPLETION_KIT_ENCRYPTION_DETERMINISTIC_KEY, COMPLETION_KIT_ENCRYPTION_KEY_DERIVATION_SALT, OPENAI_API_KEY, ANTHROPIC_API_KEY, OLLAMA_API_ENDPOINT, OPENROUTER_API_KEY.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Conversational AI | Conversational AI |
| Quality signal | 52/100 · Good | 39/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Remote HTTP/SSE |
| Auth | API key required | Not declared |
| Pricing | BYOK (pay the provider) | Not declared |
| Required env vars | OPENAI_API_KEY | COMPLETION_KIT_ENCRYPTION_PRIMARY_KEYCOMPLETION_KIT_ENCRYPTION_DETERMINISTIC_KEYCOMPLETION_KIT_ENCRYPTION_KEY_DERIVATION_SALTOPENAI_API_KEYANTHROPIC_API_KEYOLLAMA_API_ENDPOINTOPENROUTER_API_KEY |
| Verified owner | Community listing | Community listing |
| GitHub stars | 39 | 3 |
| Directory activity | 3 views 0 installs 0 upvotes | 0 views 0 installs 0 upvotes |
| Tools | 8 | Not listed |
| Full listing | View MCP Simple Openai Assistant | View CompletionKit |
Tools & capabilities
MCP Simple Openai Assistant tools 8
create_assistantlist_assistantsretrieve_assistantupdate_assistantcreate_new_assistant_threadlist_threadsdelete_threadask_assistant_in_thread
CompletionKit 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 Simple Openai Assistant
{
"mcpServers": {
"andybrandt-mcp-simple-openai-assistant": {
"command": "uvx",
"args": [
"mcp-simple-openai-assistant"
],
"env": {
"OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE"
}
}
}
}
CompletionKit
{
"mcpServers": {
"completionkit": {
"url": "https://your-app.com/completion_kit/mcp"
}
}
}
Frequently asked questions
MCP Simple Openai Assistant is categorized under Conversational AI and uses a local stdio subprocess. CompletionKit belongs to Conversational AI and uses a remote HTTP/SSE transport. Pick MCP Simple Openai Assistant for conversational ai work and CompletionKit 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 Simple Openai Assistant is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: api key required. CompletionKit 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 andybrandt-mcp-simple-openai-assistant and completionkit as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, MCP Simple Openai Assistant has a quality signal of 52/100 (Good) with 3 views, 0 installs and 39 GitHub stars. CompletionKit has 39/100 (Fair) with 0 views, 0 installs and 3 GitHub stars.
