Catalog › io.github.sriinnu/kosha-discovery
Not measured yet Kosha Model Discovery runs locally (installed package), so Faceabot cannot measure it over the network.
En français : Pas encore mesuré. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.
Tells your agent which model to use and what it costs, across 46 providers and local runtimes.
Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.8.1 · publisher website{
"mcpServers": {
"kosha-discovery": {
"command": "npx",
"args": [
"-y",
"@sriinnu/kosha-discovery"
]
}
}
}Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.sriinnu/kosha-discovery"} on https://faceabot.com/api/mcp. — Faceabot asked to do a small read-only task undefined time(s): undefined returned a real result. Last result: .
{}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.No measurement yet.
initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.Tokens and cost for Claude Code, Codex and 14 more AI coding agents, from local session files.
Package npm :@sriinnu/tokmeter-mcp · website · measurements and detailsFind tools similar to Kosha Model Discovery →
Show your measured reliability on your README or website:
[](https://faceabot.com/tools/io.github.sriinnu/kosha-discovery)Data in JSON: /api/catalog?id=io.github.sriinnu/kosha-discovery · Stop probes:
POST /api/reliability/opt-outAI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt
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