Koskamo

Perceptlayer MCP

An official MCP server provided by Perceptlayer that allows AI agents to access structured JSON data from 248 websites, including Google Maps, Zillow, and Airbnb, using a single API key for search and endpoint execution.

Endpoint and access

No sign-in to connect and list tools. Individual tools may still need a vendor account, credentials, or permissions; check the documented prerequisites.

Perceptlayer MCP logo, by PerceptlayerVendor evidenceStreamable HTTPNo sign-inEndpoint checked 2026-11-01Operated by Perceptlayer
You need:Get a free API key
MCP endpoint (Streamable HTTP)
https://api.perceptlayer.com/mcp
Vendor documentation

What you can do with it

  • Search for local business listings and reviews
  • Retrieve real estate property details and prices
  • Find job advertisements and company information
  • Check product availability and pricing on marketplaces

Source and maintenance

Vendor evidenceRegistry 1.1.0

Protocol and capabilities

Server
Perceptlayer 1.1.0
MCP protocol
2025-06-18
Tools
3 advertised
Resources
Not advertised
Resource templates
Not advertised
Prompts
Not advertised
Server-advertised capabilities
{
  "tools": {
    "listChanged": false
  }
}

Server-provided instructions

Untrusted server output shown for inspection. It is not Koskamo guidance and is excluded from knowledge search.

Perceptlayer is a web data API: one key for structured data from about 250 websites and data sources (marketplaces, travel, real estate, cars, jobs, search engines, reviews, social networks, apps, SEO). Use search_endpoints to find an endpoint for the site or data you need, get_endpoint to read its parameters, then call_endpoint to run it. Each successful call costs the credits shown; failed calls are free. call_endpoint needs the user's API key in the MCP server config (Authorization: Bearer sk_live_... or X-API-Key).

Tools

3 advertised

search_endpoints — Search data endpoints
Advertised by the server during the last successful anonymous check.
Advertised read-only

Find Perceptlayer endpoints for a website or kind of data. The catalogue has 1659 endpoints across 248 sources, so search before calling. Query with the site and the data you want, e.g. "amazon product reviews", "airbnb listing", "linkedin company", "google maps places", "zillow property". Returns compact matches: endpoint ID (pass it to get_endpoint or call_endpoint), name, HTTP method, credits per call, tier ("restricted" endpoints need the account's restricted-endpoint terms accepted) and required parameters. Free; no API key needed.

search_endpoints input schema
{
  "type": "object",
  "required": [
    "query"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "default": 10,
      "maximum": 50,
      "minimum": 1,
      "description": "Maximum results (default 10)."
    },
    "query": {
      "type": "string",
      "description": "Site and/or data wanted, in a few words, e.g. \"tripadvisor hotel reviews\"."
    },
    "vertical": {
      "enum": [
        "apps",
        "cars",
        "jobs",
        "marketplaces",
        "real-estate",
        "reviews",
        "search",
        "social",
        "travel",
        "web-seo"
      ],
      "type": "string",
      "description": "Optional: only return endpoints in this vertical."
    }
  },
  "additionalProperties": false
}
search_endpoints annotations
{
  "title": "Search data endpoints",
  "readOnlyHint": true,
  "openWorldHint": false
}
get_endpoint — Get endpoint details
Advertised by the server during the last successful anonymous check.
Advertised read-only

Get the full parameter list for one endpoint: each parameter's name, type, whether it is required, allowed values and limits, plus an example set of parameters, the credit cost and tier. Call this before call_endpoint unless you already know the parameters. Free; no API key needed.

get_endpoint input schema
{
  "type": "object",
  "required": [
    "endpoint"
  ],
  "properties": {
    "endpoint": {
      "type": "string",
      "description": "Endpoint ID from search_endpoints, e.g. \"airbnb.listing\"."
    }
  },
  "additionalProperties": false
}
get_endpoint annotations
{
  "title": "Get endpoint details",
  "readOnlyHint": true,
  "openWorldHint": false
}
call_endpoint — Call a data endpoint
Advertised by the server during the last successful anonymous check.
Advertised read-onlyOpen-world

Run one endpoint and return its JSON response. Spends the endpoint's credits from the user's balance on success only; failed calls are free. Pass parameters exactly as get_endpoint lists them (array parameters as JSON arrays). The result reports credits used and remaining. Errors come back with a code: invalid_parameters (fix the parameters and retry), not_found (no data for these parameters), rate_limited or temporarily_unavailable (wait and retry), insufficient_credits, restricted_endpoint (the user must accept the restricted-endpoint terms in their dashboard), invalid_api_key (the MCP server config needs a valid API key). Responses over 100,000 characters are truncated; use paging or limit parameters to fetch less.

call_endpoint input schema
{
  "type": "object",
  "required": [
    "endpoint"
  ],
  "properties": {
    "params": {
      "type": "object",
      "description": "Parameters for the endpoint, e.g. {\"listing_id\": \"18648717\"}.",
      "additionalProperties": true
    },
    "endpoint": {
      "type": "string",
      "description": "Endpoint ID from search_endpoints, e.g. \"airbnb.listing\"."
    }
  },
  "additionalProperties": false
}
call_endpoint annotations
{
  "title": "Call a data endpoint",
  "readOnlyHint": true,
  "openWorldHint": true,
  "destructiveHint": false
}

Prompts

Not advertised

No prompt definitions available.

Resources

Not advertised

No resource definitions available.

30-day availability

Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.

Successful checks
1 of 1 (100%)
Average latency
246 ms
95th percentile latency
246 ms

Maintenance history

Public check and source-refresh events. Editorial and ownership records remain private.

  • · probe · passed · 246 ms · metadata changed · 3 tool(s)

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers the remote server. Use --scope project to write .mcp.json for the repo.
Claude Code configuration
claude mcp add --transport http perceptlayer-mcp https://api.perceptlayer.com/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).
Codex configuration
codex mcp add perceptlayer-mcp --url https://api.perceptlayer.com/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable perceptlayer-mcp in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "perceptlayer-mcp": {
      "url": "https://api.perceptlayer.com/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).
Cline configuration
{
  "mcpServers": {
    "perceptlayer-mcp": {
      "type": "streamableHttp",
      "url": "https://api.perceptlayer.com/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start perceptlayer-mcp and inspect its tools.
VS Code configuration
{
  "servers": {
    "perceptlayer-mcp": {
      "type": "http",
      "url": "https://api.perceptlayer.com/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.
Gemini CLI configuration
gemini mcp add --transport http perceptlayer-mcp https://api.perceptlayer.com/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.
Claude Desktop configuration
{
  "mcpServers": {
    "perceptlayer-mcp": {
      "url": "https://api.perceptlayer.com/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.
Windsurf configuration
{
  "mcpServers": {
    "perceptlayer-mcp": {
      "serverUrl": "https://api.perceptlayer.com/mcp"
    }
  }
}

Let your agent find its tools

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Do you run Perceptlayer MCP?

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