
LandLens MCP server
Which MCP servers are LandLens'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 2026-10-24
- Registry namecom.getlandlens/landlensverified in the MCP registry
The registry name sits under getlandlens.com. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-24
- Tools4
- Server calls itselflandlens
- Server version1.0.0
- Protocol version2025-06-18
On 2026-10-24 the server answered initialize and tools/list without a sign-in. First answer in 141 ms.
- Whether its tools do the product's job has not been judged yet.
- Checked on 3 of the 7 days it takes to judge reliability.
Once connected
- Parameters are untyped or undescribed in 4 of 4 tools: check arguments before calling.
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
- Answeredmeasuring3 of the 7 daily checks it takes to print a share
- Median first answer211 ms
- Space in an agent's context≈ 320 tokensthe definitions of all its tools (4), which an agent carries on every turn
- Tool definitionsB · 83 of 100
- Typed results0 of 4 toolsdeclared outputSchema: results come typed, read once
- Parameters without a description: in 4 of 4
What an agent can do with it
- can do · Check a rental address for inspection and court history
- not sure · Read verified tenant reviews of a landlord
- not sure · Compare what tenants report paying for a property
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_collegesFind a campus id by school name (e.g. "Ohio State" → osu.edu). Campuses with listings come first, with propertyCount. Required before searching addresses.
search_propertiesList rental addresses near a campus, filtered by street or house number text. Returns grade (null if unreviewed), review count and record counts.
get_propertyEverything on file for one address: grade, safety flags, every public record with its source, tenant-reported landlords, aggregate tenant answers, plus the verified reviews.
search_ownersFind registered owners / contacts from city rental registries by name; returns how many licensed properties each holds near which campus and the page listing them.
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"landlens": {
"type": "http",
"url": "https://api.getlandlens.com/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http getlandlens https://api.getlandlens.com/mcpclaude.ai, ChatGPT and other clients: add https://api.getlandlens.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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