
DataWorth AI MCP server
Which MCP servers are DataWorth AI'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 2026-10-28
- Registry namecom.dataworthai/buyer-directoryverified in the MCP registry
The registry name sits under dataworthai.com. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-28
- Tools5
- Server calls itselfdataworth-ai-buyer-directory
- Server version1.2.1
- Protocol version2025-06-18
On 2026-10-28 the server answered initialize and tools/list without a sign-in. First answer in 247 ms.
- Whether its tools do the product's job has not been judged yet.
- Checked on 5 of the 7 days it takes to judge reliability.
Once connected
- For "check which data licensing programs your company qualifies for", the likely first call is check_fit.
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: 5 so far
- Answeredmeasuring5 of the 7 daily checks it takes to print a share
- Median first answer455 ms
- Space in an agent's context≈ 1,446 tokensthe definitions of all its tools (5), which an agent carries on every turn
- Tool definitionsA · 100 of 100
- Typed results1 of 5 toolsdeclared outputSchema: results come typed, read once
- Every tool passes all six checks.
What an agent can do with it
- can do · check which data licensing programs your company qualifies for
- not sure · compare published licensing ranges across AI data buyers
- not sure · review anonymization and consent terms before sharing records
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_buyersSearch DataWorth AI's directory of companies and programs that license a business's operating records (email, chat, files, CRM, code, CAD) to AI developers. Facts come from each company's own site; payouts are quoted in its own words and…
get_buyerFull directory entry for one buyer or program by its id (slug), e.g. 'lunchbreak', 'micro1-enterprise', 'turing-lazarus'. Includes its own quoted rules, sources and last-verified date.
list_situationsThe directory's situation lists (closed or winding-down companies, under 30 employees, outside the US, source code, engineering/CAD, professional services) with the buyers in each and the page link.
check_fitUse when someone asks whether a specific company qualifies to license its records to AI data buyers. Compares the company's industry, size, years, country, status and number of business systems with the published eligibility rules of…
get_changelogWhat changed in the buyer directory and when (newest first), plus what was left out and why.
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"buyer-directory": {
"type": "http",
"url": "https://dataworthai.com/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http dataworthai https://dataworthai.com/mcpclaude.ai, ChatGPT and other clients: add https://dataworthai.com/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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