
Arugula MCP server
Which MCP servers are Arugula'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 2026-10-29
- Registry namecom.arugulanet/arugulaverified in the MCP registry
The registry name sits under arugulanet.com. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-29
- Tools3
- Server calls itselfarugula
- Server versiondevelop-fd2c961
- Protocol version2025-06-18
On 2026-10-29 the server answered initialize and tools/list without a sign-in. First answer in 1053 ms.
- Its tools do every use case we checked: get ranked seller offers inside an AI assistant; match a buyer's stated request to seller offers.
- Checked on 6 of the 7 days it takes to judge reliability.
Once connected
- For "get ranked seller offers inside an AI assistant", the likely first call is find_offers.
- For "match a buyer's stated request to seller offers", the likely first call is find_offers.
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: 6 so far
- What an agent can do with it2 of 2 use cases
- Answeredmeasuring6 of the 7 daily checks it takes to print a share
- Median first answer1056 ms
- Space in an agent's context≈ 780 tokensthe definitions of all its tools (3), which an agent carries on every turn
- Tool definitionsA · 100 of 100
- Typed results0 of 3 toolsdeclared outputSchema: results come typed, read once
- Every tool passes all six checks.
What an agent can do with it
- not sure · add offer search to a website's search box
- can do · get ranked seller offers inside an AI assistant
- can do · match a buyer's stated request to seller offers
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_offersTurns the user's request, with any context they stated (location, dates, budget, party size, preferences), into an intent and returns the offers that fit, best first, each with a tracked link to show the user (tracked_url). Matching runs…
get_offersThe offers ranked for an intent from find_offers, best first, only those that fit, each with its tracked link (tracked_url) and how_to_buy. offer_id is the offer's public ID: lst_ for a merchant listing (open tracked_url to book with the…
explain_matchOne match with its explanation: why the offer fits the request, its fit and verification, and the draft terms (getMatch). brief: true leaves the explanation out. By using Arugula you agree to arugulanet.com/terms. Privacy…
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"arugula": {
"type": "http",
"url": "https://mcp.arugulanet.com/mcp?ch=mcp-registry"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http arugulanet https://mcp.arugulanet.com/mcp?ch=mcp-registryclaude.ai, ChatGPT and other clients: add https://mcp.arugulanet.com/mcp?ch=mcp-registry as a custom connector in the settings.
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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