SuperAPI AI Directory

echoloc-mcp

🎖️ 🐍 ☁️ - Company technographics from hiring data: find companies adopting, replacing or evaluating technologies and enrich domains with firmographics and hiring signals.

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About this tool

Purpose

echoloc-mcp is a remote MCP server for echoloc's company intelligence dataset, allowing AI agents to query company technographics. The problem it solves is: most technographic data comes from scraping website source code, which only reveals front-end tools; echoloc instead reads what companies say about themselves in job postings, thus covering back-end, data, cloud, and AI toolchains.

Main Capabilities

  • Search 760,000+ companies by tech stack.
  • Provide direction of technology change: each company profile includes tech_adopting, tech_replacing, and tech_evaluating arrays, rather than just static "uses X" tags.
  • Hiring signals: open roles, hiring velocity, departments, executive hiring.
  • Enterprise firmographic data.
  • Depth: 360,000+ companies have identified tech stacks, covering 10,000+ technologies, refreshed daily.
  • All tools are read-only (readOnlyHint: true).

How to Use

  • Endpoint:https://api.echoloc.ai/mcp(Streamable HTTP, stateless)
  • Registry name: ai.echoloc/company-technographics
  • Authentication: X-API-Key request header (also accepts Authorization: Bearer)
  • Free Key: 100 requests/month, available instantly—sign up at echoloc.ai/app/api and copy it.
  • Discovery (initialize, tools/list) requires no Key; each tool call consumes 1 credit.

Can be used with Cursor or any MCP client. You can ask questions such as:

  • Which financial-services companies are adopting Snowflake right now?
  • Pull the tech stack and hiring signals for walgreens.com.
  • Which companies are actively replacing VMware?

stdio Bridge (Claude Desktop, local runners)

For MCP clients that only support stdio, this repository provides a dependency-free bridge script, mcp_stdio_bridge.py, which forwards JSON-RPC to the hosted server.

Raw JSON-RPC Example

No specific code content is provided in the material.

Use Cases

  • AI agents performing company tech stack retrieval and sales/market intelligence analysis.
  • Querying companies in an industry that are adopting a certain technology.
  • Retrieving the tech stack and hiring signals for a specified domain.
  • Finding companies that are replacing a certain technology.

Limitations

  • Free Key is limited to 100 requests/month; each tool call consumes 1 credit.
  • All tools are read-only.
  • Production Key (higher limits, bulk data sources, licensing) requires contacting hello@echoloc.ai, with a commitment to respond within one business day.

Related Resources

  • Agent fast track: echoloc.ai/for-agents
  • REST API documentation: echoloc.ai/developers · OpenAPI specification
  • LLM-readable summary: llms.txt · llms-full.txt
  • Methodology: echoloc.ai/methodology
  • Research based on this dataset: echoloc.ai/research

Repository address:https://github.com/echoloc-ai/echoloc-mcp