MCP server

BenchGecko Official

ai.benchgecko/benchgecko

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

AI model prices per provider, benchmarks, own AI behavior tests and AI economy data, with sources.

Website Source

At a glance

Type

MCP server

Publisher

benchgecko.ai (verified by the MCP Registry)

Status

Working at last check

Tools

9

Token cost

About 1,024 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http benchgecko https://benchgecko.ai/api/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.benchgecko]
url = "https://benchgecko.ai/api/mcp"

Gemini CLI

{"mcpServers":{"benchgecko":{"httpUrl":"https://benchgecko.ai/api/mcp"}}}

Cursor

{"mcpServers":{"benchgecko":{"url":"https://benchgecko.ai/api/mcp"}}}

VS Code

{"servers":{"benchgecko":{"type":"http","url":"https://benchgecko.ai/api/mcp"}}}

Antigravity

agy mcp add benchgecko https://benchgecko.ai/api/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"benchgecko","server_url":"https://benchgecko.ai/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"benchgecko","server_url":"https://benchgecko.ai/api/mcp"}

Tools

• cheapest_provider ~96 tokens
  Every provider serving a model, sorted by input price per 1M tokens (refreshed daily from provider endpoints), with output price, quantization and 1 day uptime.
• compare_models ~109 tokens
  Side by side: BenchGecko score, list price, cheapest provider, context window, shared benchmark scores and Gecko Tests grades for two models.
• fetch ~63 tokens
  Fetch the full record for an id returned by search (model:<slug>, gecko-test:<slug> or scorecard).
• get_gecko_test ~286 tokens
  Results of one of BenchGecko's own tests (own measurements, CC BY 4.0): who-are-you (Does the model know which lab made it?) world-map (How well does the model draw the world map from memory?) censorship-index (How often does the model refuse legitimate questions?) knowledge-horizon (Where does the
• get_model ~111 tokens
  Core facts for one AI model: BenchGecko score and rank, list price, price at every provider, benchmark scores with their original sources, Gecko Tests grades and as-of dates.
• get_scorecard ~91 tokens
  BenchGecko Gecko Scorecard: every model across BenchGecko's own profile tests with a letter grade per test and an overall Gecko Score (behavior, not intelligence).
• latest_findings ~79 tokens
  Latest notable results detected in the Gecko Tests and price data (fixed rules, numbers and quotes from stored results).
• search ~56 tokens
  Search BenchGecko models and Gecko Tests. Returns ids for fetch.
• search_models ~133 tokens
  Find AI models in the BenchGecko catalog by name, slug or lab. Returns slugs to use with get_model, cheapest_provider and compare_models, with BenchGecko score and list price.

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