Cited AI Visibility Check vs Llm Router
A side-by-side look at the Cited AI Visibility Check 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 Cited AI Visibility Check for developer tools work as a local process; choose Llm Router for developer tools as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Cited AI Visibility Check when
- You need dedicated capabilities in the Developer Tools domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
OPENAI_API_KEY, OPENAI_MODEL, PERPLEXITY_API_KEY, PERPLEXITY_MODEL, GEMINI_API_KEY, GEMINI_MODEL.
Choose Llm Router when
- You need dedicated capabilities in the Developer Tools 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 | Developer Tools | Developer Tools |
| Quality signal | 36/100 · Fair | 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 | OPENAI_API_KEYOPENAI_MODELPERPLEXITY_API_KEYPERPLEXITY_MODELGEMINI_API_KEYGEMINI_MODEL | OPENAI_API_KEYGEMINI_API_KEYOLLAMA_BASE_URLOPENROUTER_API_KEY |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 95 |
| Directory activity | 0 views 0 installs 0 upvotes | 5 views 0 installs 0 upvotes |
| Tools | Not listed | Not listed |
| Full listing | View Cited AI Visibility Check | View Llm Router |
Tools & capabilities
Cited AI Visibility Check tools
No tool names declared yet. Check the project README from the listing page.
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.
Cited AI Visibility Check
{
"mcpServers": {
"cited-ai-visibility-check": {
"command": "npx",
"args": [
"-y",
"cited-mcp"
],
"env": {
"OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE",
"OPENAI_MODEL": "YOUR_OPENAI_MODEL_HERE",
"PERPLEXITY_API_KEY": "YOUR_PERPLEXITY_API_KEY_HERE",
"PERPLEXITY_MODEL": "YOUR_PERPLEXITY_MODEL_HERE",
"GEMINI_API_KEY": "YOUR_GEMINI_API_KEY_HERE",
"GEMINI_MODEL": "YOUR_GEMINI_MODEL_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
Cited AI Visibility Check is categorized under Developer Tools and uses a local stdio subprocess. Llm Router belongs to Developer Tools and uses a local stdio subprocess. Pick Cited AI Visibility Check for developer tools work and Llm Router for developer tools.
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.
Cited AI Visibility Check 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 cited-ai-visibility-check and ypollak2-llm-router as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Cited AI Visibility Check has a quality signal of 36/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. Llm Router has 60/100 (Good) with 5 views, 0 installs and 95 GitHub stars.
