Official description7 sourcesMCP servers8d ago

echoloc-ai/echoloc-mcp

Company technographics from

View on GitHub ↗Direct link · no redirect page

Config template (adjust for your client)

claude mcp add echoloc-mcp -- npx -y echoloc-mcp

A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.

Star count: 0 ★ · echoloc-ai/echoloc-mcp · read from the GitHub search API · (checked 2026-10-16 20:00:20)
Source: collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history: first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score: score 703 · 7 sources · mcp

FAQ (answers come from our records)

How do I install it?

We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.

Who is it for?

We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.

Who maintains it?

repository echoloc-ai/echoloc-mcp；first catalogued 2026-10-09；last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.

Third-party quality signals

echoloc MCP server — company technographics for AI agents

以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →

Remote Model Context Protocol server for the
echoloc company-intelligence dataset: search 760,000+
companies by the technologies they use — with **direction of change** (what
each company is *adopting*, *replacing*, and *evaluating*), hiring signals, and
firmographics. Signals are extracted from millions of public job posts, so the
data covers backend, data, cloud, and AI tooling that never appears in website
source.
- **Endpoint:** https://api.echoloc.ai/mcp (Streamable HTTP, stateless)
- **Registry name:** ai.echoloc/company-technographics
- **Auth:** X-API-Key header (also accepts Authorization: Bearer)
- **Free key:** 100 requests/month, instant — sign up and copy it from echoloc.ai/app/api
Tools
| Tool | What it does |
| --- | --- |
| search_companies_by_technologies | Find companies using given technologies (match any/all), ranked by usage. Case-insensitive, 10,000+ technologies tracked. |
| get_company_by_domain | Resolve a domain (e.g. walgreens.com) to a full profile: firmographics, hiring stats, tech stack with adoption context. |
| list_technologies | The full technology catalog with per-technology company counts. |
All tools are read-only (readOnlyHint: true). Discovery (initialize,
tools/list) requires no key; tool calls consume 1 credit each.
Quick start
Claude Code
Cursor / any MCP client
Then ask things like:
> *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 stdio-only MCP clients this repo ships a dependency-free bridge
(mcp_stdio_bridge.py) that forwards JSON-RPC to the
hosted server:
Or via Docker:
Raw JSON-RPC example
What makes the data different
Most technographics are scraped from website source and can only see frontend
tools. echoloc reads what companies say in their own hiring:
- **Direction of change** — tech_adopting, tech_replacing, tech_evaluating
arrays on every profile, not just a static "uses X" flag.
- **Hiring context** — active jobs, hiring velocity, departments, leadership
hires.
- **Depth** — 360,000+ companies with detected stacks across 10,000+