Ask or compare other AI models, web search and balance via the Ezkielyna API (prepaid key).
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io.github.EzkielynaGroup/ezkielyna-mcp is an MCP server that ask or compare other AI models, web search and balance via the Ezkielyna API (prepaid key). Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 62/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"ezkielyna": {
"env": {
"EZKIELYNA_API_KEY": "sk-..."
},
"args": [
"-y",
"ezkielyna-mcp"
],
"command": "npx"
}
}
}Are you the author?
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An MCP server that lets your AI assistant ask other AI models for a second opinion, compare 2-4 answers side by side, search the web and check your balance, all through the Ezkielyna API. Works in Claude Code, Claude Desktop, Cursor, OpenCode and any other MCP client that runs local stdio servers.
Run this in your terminal to verify the server starts. Then let us know if it worked - your result helps other developers.
npx -y 'ezkielyna-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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No known CVEs.
Checked ezkielyna-mcp against OSV.dev.
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An MCP server that lets your AI assistant ask other AI models for a second opinion, compare 2-4 answers side by side, search the web and check your balance, all through the Ezkielyna API. Works in Claude Code, Claude Desktop, Cursor, OpenCode and any other MCP client that runs local stdio servers.
Example (in Claude Code): "Ask deepseek-v4.1-flash and glm-5.3 to review the SQL in db/report.sql for injection risks, then tell me where they disagree."
🇮🇩 Bahasa Indonesia: lihat bagian di bawah.
npm install.max_tokens is capped, and the API key is never printed.node -v). Get the LTS from nodejs.org.list_models works without a key (it shows the public price list), so you can look before you buy.| Tool | What it does | Cost |
|---|---|---|
ask_model | Sends a prompt (optional system) to one model. model default deepseek-v4.1-flash, max_tokens default 1024 (cap 4096), optional temperature. Returns the answer, tokens, latency and estimated cost. | paid, 1 call |
compare_models | Same prompt to 2-4 models in parallel; answers side by side with tokens, latency and cost each. A failing model is reported without hiding the others. | paid, 1 call per model |
list_models | Models your key can use (GET /v1/models) joined with public prices (USD per 1M tokens, or per call). Optional filter, e.g. deepseek, claude, tts. | free |
web_search | Web search through POST /v1/search: query, max_results 1-10 (default 5), optional time_range (day/week/month/year) and language. | counts toward the cap |
check_balance | Credit limit, usage and remaining balance reported by the OpenAI-compatible billing endpoints, plus calls left this session. If the endpoint answers in an unexpected shape, it points you to the dashboard instead of guessing. | free |
The other models cannot see your conversation: the assistant must put the code or context into the prompt. Prices shown are list prices (USD) from the public price list and include the lowest group multiplier the model is in; actual bills can be lower thanks to cache hits. Exact charges are in Usage Logs on api.ezkielyna.store.
Price example (public price list, 11 Nov 2026): deepseek-v4.1-flash costs $0.04 per 1M input tokens and $0.16 per 1M output tokens, so a 2,000-token prompt with a 1,000-token answer is about $0.00024.
With npx (recommended): nothing to install. The configs below r