Data Collection

echoloc.ai

Queries a dataset to find companies by technology stack and resolve domain information.

1 endpoint3 known toolsFirst detected July 28, 2026Last detected August 31, 2026

ENDPOINT 1

https://api.echoloc.ai/mcp

No auth detected

MCP server metadata

Name: echoloc
Version: 1.0.0

Capabilities

tools

Server instructions

echoloc company intelligence: technographics with direction of change (adopting / replacing / evaluating), hiring signals, and firmographics for 760,000+ companies, built from public job posts. Without an API key you get an anonymous preview (5 tool calls/day, trimmed results). For full data send an echoloc API key in the 'X-API-Key' header. Free beta key (100 requests/month, instant): sign up at https://echoloc.ai/auth?mode=signup&returnTo=%2Fapp%2Fapi and copy the key from https://echoloc.ai/app/api. Production keys: hello@echoloc.ai. Details: https://echoloc.ai/for-agents/

Known tools 3

search_companies_by_technologies

Find companies using the given technologies, ranked by usage.

Inferred read-only

get_company_by_domain

Resolve a company domain (e.g.

Inferred read-only

list_technologies

Catalog of all technologies in the dataset with per-technology company counts.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.echoloc]
url = "https://api.echoloc.ai/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "echoloc": {
      "type": "http",
      "url": "https://api.echoloc.ai/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: echoloc
Remote MCP URL: https://api.echoloc.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "echoloc": {
      "url": "https://api.echoloc.ai/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "echoloc": {
      "type": "http",
      "url": "https://api.echoloc.ai/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "echoloc",
  "transport": "streamable-http",
  "url": "https://api.echoloc.ai/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for echoloc.ai was fetched 2026-07-29T21:23:21.132Z and is being refreshed.

Trust status Trusted

echoloc.ai is assessed as Trusted: Domain runs a meaningful technology spend, consistent with a real business.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.