MCP Bench Router vs Llm Router
A side-by-side look at the MCP Bench Router and Llm Router MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose MCP Bench Router for conversational ai work as a local process; choose Llm Router 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 Bench Router when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
OPENROUTER_API_KEY. - You want tools like
get_best_design_model, get_leaderboard, query_design_model.
Choose Llm Router when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You have the keys it needs:
OPENAI_API_KEY, GEMINI_API_KEY, OLLAMA_BASE_URL, OPENROUTER_API_KEY.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Conversational AI | Conversational AI |
| Quality signal | 56/100 · Good | 60/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | No auth required |
| Pricing | Not declared | Free |
| Required env vars | OPENROUTER_API_KEY | OPENAI_API_KEYGEMINI_API_KEYOLLAMA_BASE_URLOPENROUTER_API_KEY |
| Verified owner | Community listing | Community listing |
| GitHub stars | 7 | 118 |
| Directory activity | 2 views 0 installs 0 upvotes | 5 views 0 installs 0 upvotes |
| Tools | 4 | Not listed |
| Full listing | View MCP Bench Router | View Llm Router |
Tools & capabilities
MCP Bench Router tools 4
get_best_design_modelGet the current #1 design model from designarena.ai's crowdsourced leaderboard, optionally filtered by category. Returns model info and OpenRouter availability.get_leaderboardBrowse the full designarena.ai design model rankings with optional category filter and pagination. Shows Elo ratings, win rates, and OpenRouter availability.query_design_modelSend a design prompt to the best available model on OpenRouter, automatically selected from designarena.ai rankings. Skips models not available on OpenRouter. Requires OPENROUTER_API_KEY.query_specific_modelSend a design prompt to a specific model via OpenRouter. Accepts either an OpenRouter model ID (e.g. 'anthropic/claude-sonnet-4-5-20250514') or a Design Arena model name (e.g. 'claude-sonnet-4-5'). Requires OPENROUTER_API_KEY.
Llm Router 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 Bench Router
{
"mcpServers": {
"mcp-bench-router": {
"command": "npx",
"args": [
"-y",
"mcp-bench-router"
],
"env": {
"OPENROUTER_API_KEY": "YOUR_OPENROUTER_API_KEY_HERE"
}
}
}
}
Llm Router
{
"mcpServers": {
"ypollak2-llm-router": {
"command": "uvx",
"args": [
"llm-routing"
],
"env": {
"OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE",
"GEMINI_API_KEY": "YOUR_GEMINI_API_KEY_HERE",
"OLLAMA_BASE_URL": "YOUR_OLLAMA_BASE_URL_HERE",
"OPENROUTER_API_KEY": "YOUR_OPENROUTER_API_KEY_HERE"
}
}
}
}
Frequently asked questions
MCP Bench Router is categorized under Conversational AI and uses a local stdio subprocess. Llm Router belongs to Conversational AI and uses a local stdio subprocess. Pick MCP Bench Router for conversational ai work and Llm Router 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 Bench Router has no declared pricing — check the project's own site. Llm Router is listed as free. Auth: no auth required. 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 mcp-bench-router and ypollak2-llm-router as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, MCP Bench Router has a quality signal of 56/100 (Good) with 2 views, 0 installs and 7 GitHub stars. Llm Router has 60/100 (Good) with 5 views, 0 installs and 118 GitHub stars.