How do I connect an AI agent to datacite-mcp-server?

Use the MCP streamable HTTP endpoint https://datacite.caseyjhand.com/mcp.

Catalog › io.github.cyanheads/datacite-mcp-server

Is datacite-mcp-server reliable?

Reliable (measured) Yes. Faceabot measured datacite-mcp-server 35 times: 100% of checks succeeded, including the last 35 in a row (last check 2026-10-19 12:40 UTC). It also does the job: its real read-only task worked 35 of 35 times.

Last check: 2026-10-19 12:40 UTC · answered in 5471 ms · remote (no install)

En français : Fiable (mesuré). Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Search DataCite datasets and software, fetch DOI metadata, trace relations, format citations.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.1.3 · publisher website

Connect your agent

{
  "mcpServers": {
    "datacite-mcp-server": {
      "url": "https://datacite.caseyjhand.com/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.cyanheads/datacite-mcp-server"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Does the job (tested) — Faceabot asked datacite_search_repositories to do a small read-only task 35 time(s): 35 returned a real result, the last 35 in a row. Last result: ok in 4210 ms.

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.

Faceabot measurements

When	Answers	Real task	Latency
2026-10-19 12:40 UTC	✅ ok	✅ done	5471 ms
2026-10-18 20:32 UTC	✅ ok	✅ done	6792 ms
2026-10-18 07:15 UTC	✅ ok	✅ done	5812 ms
2026-10-17 23:25 UTC	✅ ok	✅ done	6433 ms
2026-10-17 15:15 UTC	✅ ok	✅ done	7541 ms
2026-10-17 07:10 UTC	✅ ok	✅ done	6362 ms
2026-10-16 23:20 UTC	✅ ok	✅ done	6768 ms
2026-10-16 16:10 UTC	✅ ok	✅ done	9432 ms
2026-10-16 09:10 UTC	✅ ok	✅ done	8640 ms
2026-10-16 02:16 UTC	✅ ok	✅ done	7404 ms
2026-10-15 19:15 UTC	✅ ok	✅ done	8010 ms
2026-10-15 12:31 UTC	✅ ok	✅ done	4354 ms
2026-10-15 05:55 UTC	✅ ok	✅ done	3905 ms
2026-10-14 23:20 UTC	✅ ok	✅ done	3705 ms
2026-10-14 16:55 UTC	✅ ok	✅ done	7378 ms
2026-10-14 10:25 UTC	✅ ok	✅ done	3714 ms
2026-10-14 03:51 UTC	✅ ok	✅ done	7523 ms
2026-10-13 21:15 UTC	✅ ok	✅ done	6622 ms
2026-10-13 15:05 UTC	✅ ok	✅ done	9271 ms
2026-10-13 08:56 UTC	✅ ok	✅ done	9509 ms

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

More from the same publisher

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Package npm : @cyanheads/anime-mcp-server · website · measurements and details

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MCP endpoint : https://art-institute-chicago.caseyjhand.com/mcp · website · measurements and details

arxiv-mcp-server Flaky · 95% over 19 checks Does the job (tested) · 18/18

Search arXiv, fetch paper metadata, and read full-text content.

MCP endpoint : https://arxiv.caseyjhand.com/mcp · website · measurements and details

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Offline observational astronomy: positions, rise/set, moon phases, eclipses, and seasons.

MCP endpoint : https://astronomy.caseyjhand.com/mcp · website · measurements and details

attack-surface-mcp-server Not measured yet

Passive external attack-surface mapping: CT subdomains, DNS, TLS, HTTP posture, RDAP/WHOIS, Shodan.

Package npm : @cyanheads/attack-surface-mcp-server · website · measurements and details

Publisher of datacite-mcp-server?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.github.cyanheads/datacite-mcp-server.svg)](https://faceabot.com/tools/io.github.cyanheads/datacite-mcp-server)

Data in JSON: /api/catalog?id=io.github.cyanheads/datacite-mcp-server · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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