MCP server

Vouch

io.github.AivaStack/vouchtools

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Vouch — independently measured reliability scores for MCP tools, not self-reported claims.

Working at last checkAbout 554 tokens per request once connected3 tools

https://vouch.tools/api/mcp

At a glance

Type: MCP server
Publisher: Not verified
Status: Working at last check
Tools: 3
Token cost: About 554 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 25 Oct 2026, 20:29 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 vouchtools https://vouch.tools/api/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.vouchtools]
url = "https://vouch.tools/api/mcp"

Gemini CLI

{"mcpServers":{"vouchtools":{"httpUrl":"https://vouch.tools/api/mcp"}}}

Cursor

{"mcpServers":{"vouchtools":{"url":"https://vouch.tools/api/mcp"}}}

VS Code

{"servers":{"vouchtools":{"type":"http","url":"https://vouch.tools/api/mcp"}}}

Antigravity

agy mcp add vouchtools https://vouch.tools/api/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":"vouchtools","server_url":"https://vouch.tools/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"vouchtools","server_url":"https://vouch.tools/api/mcp"}

vouch_check ~159 tokens
Get an MCP tool's independently measured trust score before relying on it: real invocation trials, not self-reported metadata. Call this before adding a new MCP server to a project, or when deciding between two tools that do similar things. Look up by tool name, package, or server — free text.
vouch_compare ~181 tokens
Compare 2-5 MCP tools' measured behaviour side by side before picking one. Call this when weighing alternatives for the same task. Never collapses the comparison into a single ranked number — each tool keeps its own score and tier, and a caveat is surfaced when compared tools weren't measured at the
vouch_find ~214 tokens
Search Vouch's independently measured corpus of MCP tools by free-text query. Call this when choosing an MCP tool for a task and you want options ranked by measured reliability rather than popularity — optionally filtered by measurement tier (deep = full behavioural battery, shallow = schema + sampl

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