Catalog › io.github.blackwell-systems/gcf-proxy
Not measured yet gcf-proxy 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.
Drop-in MCP proxy. 71% fewer tokens. Session dedup compounds to 92%. Zero code changes.
Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.10.2 · publisher website{
"mcpServers": {
"gcf-proxy": {
"command": "npx",
"args": [
"-y",
"@blackwell-systems/gcf-proxy"
]
}
}
}Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.blackwell-systems/gcf-proxy"} 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.Orchestrates language servers into 65 code-intelligence tools across 32 languages, token-optimized.
Package npm :@blackwell-systems/agent-lsp · website · measurements and detailsContent-addressed code graph with 22 MCP tools for AI agents.
Package npm :@blackwell-systems/knowing · website · measurements and detailsFind tools similar to gcf-proxy →
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