MCP server

Agiscorecard Web3 Route

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

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

Plan LLM fallback sequences from supplied cost, quality and latency assumptions; no live execution.

Working at last checkAbout 850 tokens per request once connected3 tools

Website Source

https://route.agiscorecard.com/mcp

At a glance

Type: MCP server
Publisher: Not verified
Status: Working at last check
Tools: 3
Token cost: About 850 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-route https://route.agiscorecard.com/mcp

Claude Desktop

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

Codex (config.toml)

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

Gemini CLI

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

Cursor

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

VS Code

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

Antigravity

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

Grok (xAI API tools)

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

Tools

plan_fallback_routes ~622 tokens
Route Lab compares short supplier sequences using entered cost, success and latency assumptions. It checks the worst-case total against your budget before sorting feasible options by expected cost. It is an offline planning tool; no model or payment is called. Offline planning only. No live requests

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