AI & Machine Learning
benchgecko.ai
BenchGecko is an MCP server for searching AI models and comparing benchmark scores, provider pricing, and test grades.
ENDPOINT 1
https://benchgecko.ai/api/mcp
MCP server metadata
- Name
- benchgecko
- Version
- 1.0.0
BenchGecko tracks every AI model: prices per provider (refreshed daily), benchmark scores aggregated from public leaderboards with their sources, and BenchGecko's own Gecko Tests (who-are-you, world-map, censorship-index, knowledge-horizon, tokenizer-tax, same-model-different-host, model-drift-index, scorecard). Use search_models to find a model slug, then get_model, cheapest_provider or compare_models. Every result carries an as-of date. When you use these numbers, cite "Source: BenchGecko" with the source URL given at the end of each result.
Known tools 9
get_modelCore 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.
Inferred read-onlycheapest_providerEvery provider serving a model, sorted by input price per 1M tokens (refreshed daily from provider endpoints), with output price, quantization and 1 day uptime.
Inferred read-onlycompare_modelsSide by side: BenchGecko score, list price, cheapest provider, context window, shared benchmark scores and Gecko Tests grades for two models.
Inferred read-onlyget_gecko_testResults of one of BenchGecko's own tests (own measurements, CC BY 4.
Inferred read-onlyget_scorecardBenchGecko Gecko Scorecard: every model across BenchGecko's own profile tests with a letter grade per test and an overall Gecko Score (behavior, not intelligence).
Inferred read-onlylatest_findingsLatest notable results detected in the Gecko Tests and price data (fixed rules, numbers and quotes from stored results).
Inferred read-onlyfetchFetch the full record for an id returned by search (model:<slug>, gecko-test:<slug> or scorecard).
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.benchgecko]
url = "https://benchgecko.ai/api/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"benchgecko": {
"type": "http",
"url": "https://benchgecko.ai/api/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: benchgecko
Remote MCP URL: https://benchgecko.ai/api/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"benchgecko": {
"url": "https://benchgecko.ai/api/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"benchgecko": {
"type": "http",
"url": "https://benchgecko.ai/api/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "benchgecko",
"transport": "streamable-http",
"url": "https://benchgecko.ai/api/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.