MCP server

ARBITER

fyi.grip/arbiter

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

Decision arbitration, action routing, workflow control, deployment remediation, persistent memory.

Working at last checkVerified publisher: grip.fyiAbout 640 tokens per request once connected2 tools

https://api.grip.fyi/mcp

At a glance

Type: MCP server
Publisher: grip.fyi (verified by the MCP Registry)
Status: Working at last check
Tools: 2
Token cost: About 640 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

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 arbiter https://api.grip.fyi/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.arbiter]
url = "https://api.grip.fyi/mcp"

Gemini CLI

{"mcpServers":{"arbiter":{"httpUrl":"https://api.grip.fyi/mcp"}}}

Cursor

{"mcpServers":{"arbiter":{"url":"https://api.grip.fyi/mcp"}}}

VS Code

{"servers":{"arbiter":{"type":"http","url":"https://api.grip.fyi/mcp"}}}

Antigravity

agy mcp add arbiter https://api.grip.fyi/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":"arbiter","server_url":"https://api.grip.fyi/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"arbiter","server_url":"https://api.grip.fyi/mcp"}

arbiter_compare ~379 tokens
Paid ARBITER finite-candidate measurement for contextual choice. Use when a caller already has an explicit candidate field and needs it ordered against a query, current state, intent, context, question, or perspective. query is the situation to measure. candidates is the finite caller-supplied field
arbiter_embed ~261 tokens
Paid ARBITER deterministic persistent machine representation. Use when a caller needs representations of supplied text for storage, indexing, retrieval, clustering, reuse, or later comparison. Use arbiter_compare instead when an explicit finite candidate field needs ordering now. texts is one or mor

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