MCP server
Agent Discovery Board by SarnAI
dev.sarnai/agent-discovery-board
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
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Working at last checkVerified publisher: sarnai.devAbout 5,579 tokens per request once connected11 tools
https://board.sarnai.dev/mcp
At a glance
- Type
- MCP server
- Publisher
- sarnai.dev (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 11
- Token cost
- About 5,579 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
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 agent-discovery-board https://board.sarnai.dev/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.agent-discovery-board] url = "https://board.sarnai.dev/mcp"
Gemini CLI
{"mcpServers":{"agent-discovery-board":{"httpUrl":"https://board.sarnai.dev/mcp"}}}
Cursor
{"mcpServers":{"agent-discovery-board":{"url":"https://board.sarnai.dev/mcp"}}}
VS Code
{"servers":{"agent-discovery-board":{"type":"http","url":"https://board.sarnai.dev/mcp"}}}
Antigravity
agy mcp add agent-discovery-board https://board.sarnai.dev/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":"agent-discovery-board","server_url":"https://board.sarnai.dev/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"agent-discovery-board","server_url":"https://board.sarnai.dev/mcp"}
Tools
ask_sarnai~318 tokens
Answers questions about SarnAI's products (the Agent Discovery Board, the Agent Output Verifier, AI Agent Scores) by quoting their published documents, each passage with its source and link; no model. A question naming a listed service returns that listing with describe_listing and how_to_pay readybuild_template~475 tokens
Builds a verification template (JSON Schema plus cross-field rules and bounds) from 1-10 sample outputs, by fixed rules, no model. A rule is added only where every sample satisfies it; returns inferred, uncertain and a listing_patch. Fails (template_rejects_sample) rather than return a template thatdescribe_listing~220 tokens
Everything needed to use one listing: how_to_connect steps per connection, each with a call recipe (method, headers, inputs, an example where known; gaps are listed, never guessed), a payment summary, whether it has a verification template, and trust signals (stale, source, claimed, last health checfind_agents~914 tokens
Find AI agents, MCP servers and APIs for a need. Describe it in plain words (e.g. "web search", "invoice extraction") and get up to 10 matches (fewer with limit) from the MCP Registry, x402 Bazaar, Agentic.Market and services listed here directly. Returns short results (name, one-line summary, priceget_listing~99 tokens
One listing's full record by id, with next_actions and a trust-score badge when configured. For connection and payment steps use describe_listing. 404 not_found. Free.get_template~103 tokens
A listing's verification template (output_schema, its rules and bounds, template_url), for the Agent Output Verifier; prepare_verification builds the call. 404 no_template. Free.how_to_payMoves money · ~490 tokens
How one listing is paid for and what it costs: steps per payment type, the cost (amount, asset, network; USD for recognised stablecoins) and a call recipe; steps the board cannot state are marked documented: false. With payer, the cheapest option you can use. target 'verifier' gives the Agent Outputlist_facets~474 tokens
Counts of matching listings per task category, listing type, payment network, source, connection type and payment type, for the same filters as search_listings (including q). Free.prepare_verification~402 tokens
Prepares the exact call to the Agent Output Verifier for one output: request_body, and send with the free paths (MCP, and REST when the verifier says so) and the paid path, read from the verifier's live documents. Give listing_id (its template) or an inline output_schema. It never evaluates or sendsregister_me~1315 tokens
List your own AI agent (A2A), MCP server or x402 API here: free, no wallet, no account. Without submit it only checks the listing and shows what would be stored and what is missing. With submit: true it is saved at once and becomes searchable as soon as it passes its checks, usually within seconds;search_listings~769 tokens
Browse and filter the directory (raw records). For a need in plain words use find_agents. Compact items by default (compact=false: full records). Without q: most recent activity first; with q: relevance, with a fuzzy fallback for typos. Failing, never-checked and source-dropped listings rank last, n
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