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DaedalMap Distributed Manufacturing Locations MCP Server

not responding

DaedalMap Distributed Manufacturing Locations is listed as active in the registry but did not answer our last check. It exposes 4 tools. Last commit 31 Oct 2026.

Open manufacturing and maker facility locations for country and facility-type queries.

Uptime history 91 days of history · worst day 0%
91 days agonow
2.2%
Uptime 24h
2 of 91 checks
4
Tools
read from the server
373 ms
Response time
average over 24h
2
Stars
last commit 31 Oct 2026

What changed 22

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 12 August 2026. No other catalogue keeps this.

24 Sep 2 tools changed the parameters they ask for get_catalog, get_data
22 Sep 3 tool descriptions were rewritten get_catalog, get_pack, get_tool_help
22 Sep 3 tools changed the parameters they ask for get_catalog, get_pack, get_tool_help
22 Sep a tool appeared get_data
22 Sep a tool disappeared query_dataset
20 Sep a tool changed the parameters it asks for get_pack
13 Sep 4 tool descriptions were rewritten get_catalog, get_pack, get_tool_help and 1 more
26 Aug 2 tools changed the parameters they ask for get_pack, query_dataset
14 Aug a tool description was rewritten get_tool_help
14 Aug a tool changed version
and 3 more, back to 12 August 2026

What the code does

We read the source, 1 d ago · tools taken from the live server · rules 995398eba69f

A tool parameter reaches a dangerous call

A value the model can set ends up inside a file or shell call. That is not a flaw by itself — for a terminal server it is the job — but it is where things go wrong when it is not.

A tool parameter reaches a dangerous call export_scenario.output_name → network/mcp_server/server.py:40
    result = subprocess.run([sys.executable, str(SCRIPTS_DIR / script), *arguments], cwd=ROOT, capture_output=True, text=True, check=False)
Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

    result = subprocess.run([sys.executable, str(SCRIPTS_DIR / script), *arguments], cwd=ROOT, capture_output=True, text=True, check=False)
Reads files and sends them to the network mapmover/routes/system.py:2317, tools/launcher/launcher.py:531
    files = sorted(str(p.relative_to(data_dir)) for p in data_dir.rglob("*") if p.is_file())

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

A tool parameter here reaches a dangerous call

That is not a flaw by itself — but it is where things go wrong when it is not the job. We re-read this code on every release. Watch it and you hear from us the day another one appears.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 5 min ago.

run in your terminal
claude mcp add distributed-manufacturing --transport http https://app.daedalmap.com/mcp/distributed_manufacturing
Settings → Connectors → Add custom connector, then paste this address
https://app.daedalmap.com/mcp/distributed_manufacturing
~/.codex/config.toml
[mcp_servers.distributed-manufacturing]
url = "https://app.daedalmap.com/mcp/distributed_manufacturing"
.cursor/mcp.json
{
  "mcpServers": {
    "distributed-manufacturing": {
      "url": "https://app.daedalmap.com/mcp/distributed_manufacturing"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "distributed-manufacturing": {
      "type": "http",
      "url": "https://app.daedalmap.com/mcp/distributed_manufacturing"
    }
  }
}

Available tools 4

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

catalog
get_catalog
Discover data packs or geometry families progressively: lite selection, full metric/query inventory, or a raw catalog download URL. Choose one result and call get_pack next. Current catalog: The same geography tools work worldwide across a cataloged baseline of 252 geographic entities, reaching up to Admin 2. Where additional country releases are available, the same calls automatically return deeper administrative tiers or maintained reference families. Additional detail is currently available for Australia, Brazil, Canada, France, Germany, Mexico, United Kingdom, United States.
data
get_data
Retrieve rows from one selected published data pack using exact metrics, loc_id-based region filters, time/metric filters, sorting, and a row limit. Disaster event rows include stable event_id values for get_event drill-down. A parent administrative loc_id selects matching descendant rows at the pack's published grain. Call get_pack first; geometry families use their focused next-step tools.
pack
get_pack
Inspect one selected data pack or geometry family progressively: lite starter contract, full MCP query metadata, or a raw metadata download URL. Use its next_step to retrieve data or call the preferred geometry tool.
tool
get_tool_help
Describe one tool visible on this facade, including its exact contract, or return a bounded workflow overview for one supported topic.

Tools removed

Tools this server used to expose. Anything built against them stopped working on the day they went.

query_dataset
removed 22 Sep 2026

Endpoints

URLTransportStateLatencyChecked
https://app.daedalmap.com/mcp/distributed_manufacturing streamable-http answering 283 ms 5 min ago

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DaedalMap Distributed Manufacturing Locations — questions

Answers built from our own checks of this server.

What can DaedalMap Distributed Manufacturing Locations do?
It exposes 4 tools, read directly from the server on our last check. Among them: get_catalog, get_data, get_pack, get_tool_help. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is DaedalMap Distributed Manufacturing Locations working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 2 of 91 checks got a reply (2.2%), average response time 373 ms. The bar chart above shows every period we have measured.
Did DaedalMap Distributed Manufacturing Locations ever remove tools?
Yes. query_dataset is no longer exposed — we recorded the date each one disappeared. A tool vanishing usually means a breaking change for anything that depended on it.
The registry lists DaedalMap Distributed Manufacturing Locations as active — why does it not respond?
The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.
How do I connect DaedalMap Distributed Manufacturing Locations?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does DaedalMap Distributed Manufacturing Locations need an API key?
No. DaedalMap Distributed Manufacturing Locations completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 4 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is DaedalMap Distributed Manufacturing Locations?
It answers our handshake in 373 ms on average, which is faster than 36% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is DaedalMap Distributed Manufacturing Locations open source?
The code is open source: it is published under the MIT licence, written in Python and 2 stars on GitHub. The licence covers the code in the repository, not the hosted service at app.daedalmap.com, which runs on its operator's own terms.