
SarnAI MCP server
Which MCP servers are SarnAI's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-10-26
- Registry namedev.sarnai/agent-discovery-boardverified in the MCP registry
The registry name sits under sarnai.dev. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-26
- Tools11
- Server calls itselfAgent Discovery Board by SarnAI
- Server version0.4.30
- Protocol version2025-06-18
On 2026-10-26 the server answered initialize and tools/list without a sign-in. First answer in 149 ms.
- Its tools do every use case we checked: Find MCP servers and x402 services by plain-language description; Check an agent's delivered output against its requirements.
- Checked on 3 of the 7 days it takes to judge reliability.
Once connected
- For "Find MCP servers and x402 services by plain-language description", the likely first call is find_agents.
- For "Check an agent's delivered output against its requirements", the likely first call is prepare_verification.
Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.
- INITE MCP scoreafter a weeka score needs 7 daily checks: 3 so far
- What an agent can do with it2 of 2 use cases
- Answeredmeasuring3 of the 7 daily checks it takes to print a share
- Median first answer277 ms
- Space in an agent's context≈ 4,881 tokensthe definitions of all its tools (11), which an agent carries on every turn
- Tool definitionsA · 98 of 100
- Typed results0 of 11 toolsdeclared outputSchema: results come typed, read once
- Parameters without a type: in 1 of 11
What an agent can do with it
- can do · Find MCP servers and x402 services by plain-language description
- can do · Check an agent's delivered output against its requirements
- not sure · Look up an agent's track record before hiring it
Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?
Worth a look
None of the five warning signs in these definitions.
A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →
find_agentsFind AI agents, MCP servers and APIs for a need. Describe it in plain words (e.g. "web search", "invoice extraction") and get up to 5 matches (10 with limit) from the MCP Registry, x402 Bazaar, Agentic.Market and services listed here…
register_meList 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…
describe_listingEverything 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…
how_to_payHow 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…
build_templateBuilds 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…
prepare_verificationPrepares 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…
ask_sarnaiAnswers 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…
search_listingsBrowse 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…
get_listingOne 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.
list_facetsCounts 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.
get_templateA 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 connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"agent-discovery-board": {
"type": "http",
"url": "https://board.sarnai.dev/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http sarnai https://board.sarnai.dev/mcpclaude.ai, ChatGPT and other clients: add https://board.sarnai.dev/mcp as a custom connector in the settings.
- dev.sarnai/agent-output-verifieranswers, 2 toolsverified in the MCP registry
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
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