Remote MCP · Endpoint

ai.dataecho/mcp MCP server

No. ai.dataecho/mcp answered an MCP handshake 1 hour ago.

UpLast checked 1 hour ago

Server URL

https://dataecho.ai/mcp

The last check completed an MCP handshake.

Registry name
ai.dataecho/mcp
Transport
Streamable HTTP
Protocol negotiated
2025-06-18
Handshake latency
419 ms
Tools exposed
26 tools
Uptime, last 30 days
100% from 19 checks
Described by its publisher as
Deploy files, sites, and Dockerfile apps to live URLs + private drives for agent memory.
Listing
From the official MCP registry (active).
Recent checks of ai.dataecho/mcp
CheckedResultHandshake
1 hour agoHandshake completed419 ms
22 hours agoHandshake completed392 ms
2 days agoHandshake completed403 ms
3 days agoHandshake completed389 ms
4 days agoHandshake completed358 ms
5 days agoHandshake completed373 ms
6 days agoHandshake completed382 ms
8 days agoHandshake completed418 ms
11 days agoHandshake completed367 ms
13 days agoHandshake completed370 ms
15 days agoHandshake completed365 ms
18 days agoHandshake completed376 ms
20 days agoHandshake completed942 ms
22 days agoHandshake completed379 ms
24 days agoHandshake completed330 ms
25 days agoHandshake completed356 ms
27 days agoHandshake completed352 ms
29 days agoHandshake completed352 ms
29 days agoHandshake completed346 ms

The last 19 checks. Full history is kept for 30 days; the all-time counter stands at 27 responding of 30.

How to read this

  • ·Handshake latency is one measurement from one probe, from our infrastructure. It is a smoke signal about the endpoint, not a benchmark of your own connection to it.
  • ·An authentication challenge counts as responding. A hosted server that refuses an anonymous prober is behaving correctly.
  • ·A tool count of “behind credentials” means the handshake worked but listing tools needed a token we do not hold.
  • ·Uptime covers the last 30 days of our own checks, at most one an hour, and says how many checks it is drawn from.

Listing data comes from the official MCP registry. Glide is not affiliated with ai.dataecho/mcp and makes no claim about it beyond what these checks measured.