_ registry / mcp http-sse · checked 1h ago

inciteful-academic

https://incitefulmed.com

Registry code: 640de6b877c14740

api record

Inciteful's citation graph is what sets it apart from keyword search tools. Keyword search finds papers that use the query's words; the graph finds the papers a field cites and builds on, including work worded differently, and ranks them by their place in the network. Use search_literature to find seed papers, then always run the graph tools (find_similar_papers, explore_citation_network) before you answer. If the user names a paper, DOI or PMID, go straight to the graph.

Inciteful covers the OpenAlex citation graph (all fields; CC0 metadata; open-access full text from PubMed Central). Use it…

endpoint
https://incitefulmed.com/academic/mcp
protocol
http-sse ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing · is it yours? claim it
karma
0 · newcomer
_ is it live, free and safe measured by this hub
Is inciteful-academic live?
Yes — it answered the hub's last check (checked 1h ago). It answered 100% of checks over the last 30 days.
Is inciteful-academic free to use?
Yes — the hub reached it with no key and no payment.
What tools does inciteful-academic have?
8 tools: find_similar_papers, explore_citation_network, connect_papers, read_paper, export_citations, get_papers, query_citation_graph, search_literature.
Is inciteful-academic safe to connect?
The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
reachable
live
uptime, 30 days
100%

90 days 100%· all time 100%

latency
850ms

last good check

priced tools
0

of 8 tools

_ answered our checks, 90 days 2 checks · signed record
  • unknown → live
_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts
0

through this hub

calls served
0

successful

paid through this hub
0 USDC

what callers paid

inferred, not observed

Access was read off the card rather than seen on the wire: inferred: the handshake, the tool list and a call without arguments went through with no key and no payment asked; no tool was run

_ what it can do 8 tools
8 never probed 0 of 8 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • find_similar_papers unknown 28h ago

    Ranks papers by their citation links to the seeds, which surfaces related work that keyword search misses. Give 1–500 seed papers (DOIs, OpenAlex IDs or PMIDs); returns the papers most similar to them by citation links, sorted by score. Method: fast similarity, Adamic/Adar plus Salton co-citation on a depth-1 citation graph. With 2–15 seeds, each seed is ranked separately and the rankings are merged by reciprocal rank, so papers that rank well for several seeds come out on top; above 15, it uses Adamic/Adar against a synthetic paper that cites all the seeds. Seeds are left out of the results, and scores rank within one result set. limit is at most 100. Unresolved seeds are listed in diagnostics.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "seeds"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "default": 25,
      "maximum": 100,
      "minimum": 1
    },
    "seeds": {
      "type": "array",
      "items": {
        "type": "string",
        "maxLength": 300,
        "minLength": 1
      },
      "maxItems": 500,
      "minItems": 1,
      "description": "1–500 seed papers: DOIs, OpenAlex IDs (W…) or PMIDs. Duplicates count once."
    }
  }
}
    arguments 26 lines
  • explore_citation_network unknown 28h ago

    Map a field by its citations rather than its keywords: rank papers, authors, journals or institutions in the depth-2 citation graph Inciteful builds around 1–500 seed papers. analysis: similar (shared references and co-citation with the seeds), important (local PageRank), reviews (papers citing many others in the graph), recent (PageRank among papers from the last 3 years), authors, journals, institutions; or references / citations: the seeds' reference lists or citing papers from OpenAlex, sorted by global cited_by_count, with the total count. A graph that is not cached yet can take a minute to build. title_all / title_any / title_none filter by words in paper titles. They match titles only (not abstracts or full text), with Porter stemming. year_from / year_to filter by publication year. Title and year filters apply to the graph analyses, not to references or citations. limit is at most 100. Results carry provenance (method, graph size and depth, the SQL run) and diagnostics.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "seeds",
    "analysis"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "default": 25,
      "maximum": 100,
      "minimum": 1
    },
    "seeds": {
      "type": "array",
      "items": {
        "type": "string",
        "maxLength": 300,
        "minLength": 1
      },
      "maxItems": 500,
      "minItems": 1,
      "description": "1–500 seed papers: DOIs, OpenAlex IDs (W…) or PMIDs. Duplicates count once."
    },
    "year_to": {
      "type": "integer",
      "maximum": 9007199254740991,
      "minimum": -9007199254740991
    },
    "analysis": {
      "enum": [
        "similar",
        "important",
        "reviews",
        "recent",
        "authors",
        "journals",
        "institutions",
        "references",
        "citations"
      ],
      "type": "string"
    },
    "title_all": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 20,
      "description": "Every term must be in the title."
    },
    "title_any": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 20,
      "description": "At least one term must be in the title."
    },
    "year_from": {
      "type": "integer",
      "maximum": 9007199254740991,
      "minimum": -9007199254740991
    },
    "title_none": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 20,
      "description": "No term may be in the title; needs title_all or title_any."
    }
  }
}
    arguments 75 lines
  • connect_papers unknown 28h ago

    Find citation paths between two papers (DOI, OpenAlex ID or PMID), treating each citation as a link in either direction. Returns the paths, the citation edges (citing → cited), the papers on the paths, and each path's hop count in provenance.hops. extended: true also returns longer paths, aiming for at least 5. It shows how two lines of work relate.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "from",
    "to"
  ],
  "properties": {
    "to": {
      "type": "string",
      "maxLength": 300,
      "minLength": 1,
      "description": "DOI, OpenAlex ID or PMID."
    },
    "from": {
      "type": "string",
      "maxLength": 300,
      "minLength": 1,
      "description": "DOI, OpenAlex ID or PMID."
    },
    "extended": {
      "type": "boolean",
      "default": false,
      "description": "Also return longer paths."
    }
  }
}
    arguments 27 lines
  • read_paper unknown 1h ago

    Read the full text of an open-access paper from PubMed Central (PMC BioC) in chunks: pass offset (0 to start) and max_chars (up to 40000), then continue from next_offset until it is null. Returns the article's licence and a sha256 of the whole text. When PMC has no text for the paper, returns candidate open-access links (publisher or repository) in rows instead. Accepts a DOI, OpenAlex ID, PMID or PMCID.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "id"
  ],
  "properties": {
    "id": {
      "type": "string",
      "maxLength": 300,
      "minLength": 1,
      "description": "DOI, OpenAlex ID, PMID or PMCID."
    },
    "offset": {
      "type": "integer",
      "default": 0,
      "maximum": 9007199254740991,
      "minimum": 0,
      "description": "Character offset; 0 to start, then next_offset."
    },
    "max_chars": {
      "type": "integer",
      "default": 15000,
      "maximum": 40000,
      "minimum": 1
    }
  }
}
    arguments 28 lines
  • export_citations unknown never probed

    Build BibTeX or RIS citations for up to 100 papers (DOI, OpenAlex ID, PMID or PMCID) from their OpenAlex records, with entry types, years, volume, issue, pages and escaping. Each row holds one entry; join the entries with a blank line to make a .bib or .ris file. Inputs it cannot match are listed in unresolved.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "ids",
    "format"
  ],
  "properties": {
    "ids": {
      "type": "array",
      "items": {
        "type": "string",
        "maxLength": 300,
        "minLength": 1
      },
      "maxItems": 100,
      "minItems": 1,
      "description": "1–100 DOIs, OpenAlex IDs, PMIDs or PMCIDs."
    },
    "format": {
      "enum": [
        "bibtex",
        "ris"
      ],
      "type": "string"
    }
  }
}
    arguments 28 lines
  • get_papers unknown 1h ago

    Fetch OpenAlex records for up to 100 papers by DOI, OpenAlex ID (W…), PMID or PMCID: abstract, authors, venue, type and version, is_retracted, PMID/PMCID and the best open-access link with its licence. It does not use the citation graph. Inputs it cannot match come back in unresolved with a reason.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "ids"
  ],
  "properties": {
    "ids": {
      "type": "array",
      "items": {
        "type": "string",
        "maxLength": 300,
        "minLength": 1
      },
      "maxItems": 100,
      "minItems": 1,
      "description": "1–100 DOIs, OpenAlex IDs, PMIDs or PMCIDs."
    }
  }
}
    arguments 20 lines
  • query_citation_graph unknown 1h ago

    Run your own read-only SQLite query on the citation graph Inciteful builds around 1–500 seed papers (depth 2). It queries the Inciteful citation graph API; schema: https://incitefulmed.com/academic/help/power-users#database-schema Rules: a single SELECT statement. Rows returned: the limit argument if given, else the query's trailing LIMIT, else 100; at most 500. OFFSET (and LIMIT a, b) is rejected; page with a narrower WHERE or an ORDER BY instead. Schema: - papers(paper_id TEXT: OpenAlex ID (W…); doi TEXT without the https://doi.org/ prefix; authors TEXT: JSON array of {author_id, name, sequence, position, institution {id, name, ror}}; num_authors INTEGER; title TEXT; published_year INTEGER; journal TEXT; num_citing INTEGER; num_cited_by INTEGER; distance INTEGER; page_rank REAL; adamic_adar REAL; cocite REAL). num_citing and num_cited_by are in-graph counts (citations between papers in this graph), not global citation counts. - authors(author_id TEXT: OpenAlex author ID without the A prefix; paper_id TEXT; name TEXT; sequence INTEGER, from 0; affiliation TEXT; affiliation_id TEXT: OpenAlex institution ID without the I prefix; ror TEXT: ROR URL; published_year INTEGER; partial_page_rank REAL: the author's share of the paper's page_rank) - metadata(name TEXT, value TEXT): one row each for graph_depth, graph_snapshot, prune_threshold, highly_cited_not_expanded, seeds_not_expanded, paper_count, citation_count. value is TEXT; use CAST(value AS INTEGER) to compare numbers. - title_search(paper_id, search_text): an FTS5 index of the titles with Porter stemming; search_text holds the titles (paper IDs are indexed too). Query it as a table function, starting the match text with the column filter: SELECT paper_id FROM title_search('search_text: vagus AND nerve'). AND, OR, NOT and parentheses work; bm25(title_search) ranks matches, smaller is better. - title_terms(term, doc_count): the stemmed title terms and the number of papers each appears in, leaving out a few common words. - The Research Organization Registry (active organizations), attached as ror; join on authors.ror = ror.organizations.ror_url: organizations(ror_id, ror_url, display_name, status, established, types, country_code, country_name, city, latitude, longitude), names(ror_id, name, name_types, language), external_ids(ror_id, id_type, preferred_id, external_id), relationships(ror_id, related_ror_id, related_name, relationship_type). What the schema cannot tell you: - There is no edge table, so SQL cannot tell which papers cite which. - Papers with no citation inside the graph have NULL num_citing, num_cited_by, distance, page_rank, adamic_adar and cocite. - With one seed, the seed is at distance 0, its citing and cited papers at 1 and their neighbours at 2, so distance > 0 leaves the seed out. With several seeds a synthetic paper W0 ("Temp Paper", year 1900) cites every seed: W0 is at distance 0, the seeds at 1 and their neighbours at 2, so distance > 1 leaves out W0 and the seeds; otherwise add paper_id <> 'W0'. Then cocite is NULL in every row (nothing cites W0) and adamic_adar is measured against W0. Examples: 1. One seed: the highest-PageRank papers since 2020 with "stimulation" in the title: SELECT paper_id, title, published_year, page_rank FROM papers WHERE distance > 0 AND published_year >= 2020 AND paper_id IN (SELECT paper_id FROM title_search('search_text: stimulation')) ORDER BY page_rank DESC LIMIT 20 2. Authors ranked by their share of PageRank: SELECT author_id, name, COUNT(*) AS papers, SUM(partial_page_rank) AS influence FROM authors GROUP BY author_id, name ORDER BY influence DESC LIMIT 20

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "seeds",
    "sql"
  ],
  "properties": {
    "sql": {
      "type": "string",
      "maxLength": 10000,
      "minLength": 1,
      "description": "A single SQLite SELECT statement."
    },
    "limit": {
      "type": "integer",
      "maximum": 500,
      "minimum": 1,
      "description": "Rows to return, at most 500. Default: the query's trailing LIMIT (capped at 500), else 100."
    },
    "seeds": {
      "type": "array",
      "items": {
        "type": "string",
        "maxLength": 300,
        "minLength": 1
      },
      "maxItems": 500,
      "minItems": 1,
      "description": "1–500 seed papers: DOIs, OpenAlex IDs (W…) or PMIDs. Duplicates count once."
    }
  }
}
    arguments 33 lines
  • search_literature unknown never probed

    A live keyword search of OpenAlex (CC0 metadata), not of the citation graph snapshot. It matches titles, abstracts and full text where OpenAlex has it, ranked by relevance. Use it to find seed papers when you have a topic but no DOIs yet. Keyword matches miss related work that uses different words, which the citation graph finds. It is not a systematic search. Returns OpenAlex ID, DOI, title, year, venue, global cited_by_count, type, is_retracted and has_abstract; page with next_cursor. limit is at most 50. Rows carry no abstracts or authors.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "query"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "default": 10,
      "maximum": 50,
      "minimum": 1
    },
    "query": {
      "type": "string",
      "maxLength": 1000,
      "minLength": 1,
      "description": "Keywords, a title or a phrase."
    },
    "cursor": {
      "type": "string",
      "minLength": 1,
      "description": "next_cursor from the previous page."
    },
    "year_to": {
      "type": "integer",
      "maximum": 9007199254740991,
      "minimum": -9007199254740991
    },
    "year_from": {
      "type": "integer",
      "maximum": 9007199254740991,
      "minimum": -9007199254740991
    },
    "open_access": {
      "type": "boolean",
      "description": "true keeps open-access papers."
    }
  }
}
    arguments 40 lines
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