MCP server

Agiscorecard Web3 Proof

io.github.f-tiger/agiscorecard-web3-proof

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

Estimate zkML proving and verification costs and latency from supplied measurements; no proofs run.

Working at last checkAbout 930 tokens per request once connected3 tools

Website Source

https://proof.agiscorecard.com/mcp

At a glance

Type: MCP server
Publisher: Not verified
Status: Working at last check
Tools: 3
Token cost: About 930 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 Cursor Add to VS Code VS 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 agiscorecard-web3-proof https://proof.agiscorecard.com/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.agiscorecard-web3-proof]
url = "https://proof.agiscorecard.com/mcp"

Gemini CLI

{"mcpServers":{"agiscorecard-web3-proof":{"httpUrl":"https://proof.agiscorecard.com/mcp"}}}

Cursor

{"mcpServers":{"agiscorecard-web3-proof":{"url":"https://proof.agiscorecard.com/mcp"}}}

VS Code

{"servers":{"agiscorecard-web3-proof":{"type":"http","url":"https://proof.agiscorecard.com/mcp"}}}

Antigravity

agy mcp add agiscorecard-web3-proof https://proof.agiscorecard.com/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":"agiscorecard-web3-proof","server_url":"https://proof.agiscorecard.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"agiscorecard-web3-proof","server_url":"https://proof.agiscorecard.com/mcp"}

Tools

plan_zkml_costs ~702 tokens
Proof Plan estimates proving compute and onchain verification costs from your own measurements. It checks a per-job latency target and preserves model, input and verification-key hashes. It plans an integration; it does not generate or verify a zero-knowledge proof. No ZK proof generation or cryptog

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