MCP server

cern-inspire-mcp-server

io.github.cyanheads/cern-inspire-mcp-server

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Search INSPIRE-HEP papers, authors, experiments, HEPData records; get citation metrics and BibTeX.

Working at last checkAbout 5,290 tokens per request once connected8 tools

Source

https://cern-inspire.caseyjhand.com/mcp

At a glance

Type: MCP server
Publisher: Not verified
Status: Working at last check
Tools: 8
Token cost: About 5,290 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http cern-inspire-mcp-server https://cern-inspire.caseyjhand.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.cern-inspire-mcp-server]
url = "https://cern-inspire.caseyjhand.com/mcp"

Gemini CLI

{"mcpServers":{"cern-inspire-mcp-server":{"httpUrl":"https://cern-inspire.caseyjhand.com/mcp"}}}

Cursor

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

VS Code

{"servers":{"cern-inspire-mcp-server":{"type":"http","url":"https://cern-inspire.caseyjhand.com/mcp"}}}

Antigravity

agy mcp add cern-inspire-mcp-server https://cern-inspire.caseyjhand.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"cern-inspire-mcp-server","server_url":"https://cern-inspire.caseyjhand.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"cern-inspire-mcp-server","server_url":"https://cern-inspire.caseyjhand.com/mcp"}

Tools

cern_inspire_export_citations ~1105 tokens
Export INSPIRE-HEP's citation entries for the papers a literature query selects, as BibTeX or LaTeX \bibitem entries (EU or US style), keyed by INSPIRE texkeys and ready to paste into a bibliography. Name specific papers with "recid:451647 or arxiv:1207.7214 or doi:10.1016/…", or export a topic, aut
cern_inspire_get_citation_summary ~1128 tokens
Compute INSPIRE-HEP's citation summary for one author or for any literature query: h-index, citation totals, average citations per paper, and paper counts per citation bucket (0, 1–9, 10–49, 50–99, 100–249, 250–499, 500+), each for all citeable papers and for published papers, plus citations receive
cern_inspire_get_paper ~493 tokens
Fetch one paper's full INSPIRE-HEP record by recid, arXiv ID, or DOI: authors with affiliations and identifiers, abstract, publication references, arXiv and DOI identifiers, keywords, subjects, citation counts, linked experiments, texkeys, and whether HEPData holds its numerical tables (record DOI,
cern_inspire_list_reference ~329 tokens
Decode the vocabulary the other cern_inspire tools take: INSPIRE search syntax (field operators, boolean logic, sort orders, the 10,000-result window, and how malformed queries behave), identifier forms (recid, arXiv, DOI, BAI, ORCID, INSPIRE ID, institution recid, texkey, HEPData DOIs), the documen
cern_inspire_search_authors ~349 tokens
Find physicist profiles in INSPIRE-HEP by name, INSPIRE BAI, ORCID, INSPIRE ID, or author recid. Each profile carries its recid, BAI, ORCID, current and past positions, advisors, arXiv categories, links, awards, and a literatureQuery that selects the person's papers in cern_inspire_search_literature
cern_inspire_search_experiments ~315 tokens
Find experiments, collaborations, and facilities in INSPIRE-HEP (ATLAS, CMS, DUNE, Belle II, …) by name, accelerator, or INSPIRE legacy name (CERN-LHC-CMS); digits alone look up an experiment recid. Each record carries the accelerator, host institutions, collaboration and subgroups, classification,
cern_inspire_search_hepdata ~469 tokens
Find HEPData measurement records by physics content — process, observable, energy, collaboration — when the paper is unknown, through INSPIRE-HEP's index of every HEPData submission. Each hit carries the paper recids (pass to cern_inspire_get_paper), collaborations, keywords (reactions such as "P P
cern_inspire_search_literature ~1102 tokens
Search INSPIRE-HEP papers with INSPIRE query syntax or free text, filtered by document type, subject, and year, sorted by relevance, recency, or citations. Returns one page of papers with recid, title, first author, date, citation counts, arXiv ID, DOI, publication, and an abstract snippet; pass a r

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