
Slabline MCP server
Which MCP servers are Slabline'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 nameai.slabline/slablineverified in the MCP registry
The registry name sits under slabline.ai. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-29
- Tools4
- Server calls itselfslabline
- Server version1.0.0
- Protocol version2025-06-18
On 2026-10-29 the server answered initialize and tools/list without a sign-in. First answer in 132 ms.
- Whether its tools do the product's job has not been judged yet.
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 score100 of 100answers 100 · definitions 100 · context 100 · connects 100
- Answered100% of days7 of 7 daily checks
- Median first answer163 ms
- Space in an agent's context≈ 400 tokensthe definitions of all its tools (4), which an agent carries on every turn
- Tool definitionsA · 100 of 100
- Typed results0 of 4 toolsdeclared outputSchema: results come typed, read once
- Every tool passes all six checks.
What an agent can do with it
- not sure · check the value of a graded card by cert number
- not sure · decide whether a raw card is worth grading
- cannot · track insurance coverage across a slab collection
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 →
search_cardsSearch Slabline's catalogue of 1.5M+ graded cards (PSA/BGS/SGC/CGC) by player, set, or year. Returns up to 10 matches with their current Slabline value, highest-value first.
value_cardGet one card's current Slabline value: graded market value, raw/loose value, and the across-grades total. Pass a slug from search_cards, or a free-text query (the top match is used). Values are Slabline-derived from real comparable sales…
searchSearch Slabline for graded trading cards (sports & TCG) by player, set, or year. Returns matches, each with an id to pass to fetch.
fetchFetch one Slabline card by id (the slug returned by search): its current graded market value, raw/loose value, and across-grades total.
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"slabline": {
"type": "http",
"url": "https://slabline.ai/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http slabline https://slabline.ai/mcpclaude.ai, ChatGPT and other clients: add https://slabline.ai/mcp 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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