Skip to main content
Glama
scitex-ai

crossref-local

by scitex-ai

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
CROSSREF_LOCAL_DBYesPath to the CrossRef SQLite database file.

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": true
}
logging
{}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
extensions
{
  "io.modelcontextprotocol/ui": {}
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
search_worksA

Search for academic works by title, abstract, or authors.

Uses FTS5 full-text search index for fast searching across 167M+ papers. Supports FTS5 query syntax: AND, OR, NOT, "exact phrases".

search_by_doiB

Get detailed information about a work by DOI.

get_statusA

Report local CrossRef database status — path, work count (~167M), FTS5 index size, citation-graph edge count, and access mode (DB vs HTTP). Use when the user asks "is the CrossRef db ready?", "how many papers do I have?", "check crossref-local status", or before running a search to confirm the db is usable.

Returns: JSON string with database path, work count, FTS index count, and citation count.

enrich_doisA

Enrich DOIs with full metadata including citation counts and references.

Use this after search() to get detailed metadata for papers. The search() tool returns basic info (title, authors, year, journal). This tool adds: citation_count, references, volume, issue, publisher, etc.

Typical workflow:

  1. search("epilepsy seizure prediction") -> get DOIs

  2. enrich_dois([doi1, doi2, ...]) -> get full metadata

check_citationsA

Check citations against the local CrossRef database.

Validates whether DOIs exist in the database and checks metadata completeness.

check_bibtexA

Check all citations in a BibTeX file against the local database.

cache_createA

Create a paper cache from search query.

Fetches full metadata for papers matching query and saves to disk cache. Use this to build a reusable paper collection for a research topic.

cache_queryA

Query cached papers with field filtering.

Returns minimal data to reduce context usage. Specify only fields needed.

cache_statsB

Get cache statistics.

Returns year distribution, top journals, citation stats without loading full data.

cache_listA

List all available caches.

Returns: JSON array of cache info (name, path, paper_count, size)

cache_top_citedB

Get top cited papers from cache.

cache_citation_summaryA

Get citation statistics for cached papers.

Returns mean, median, max citations and counts of highly cited papers.

cache_plot_scatterA

Generate year vs citations scatter plot.

Saves plot to file and returns top cited papers.

cache_plot_networkB

Generate citation network visualization.

Creates interactive HTML graph showing citation relationships.

cache_exportC

Export cache to file.

crossref_local_skills_listA

List the names of every skill page shipped by crossref-local.

Returns

JSON string with `{"success": true, "package": "crossref-local",
"skills": ["01_configuration", ...]}`.
crossref_local_skills_getA

Fetch the full Markdown content of one crossref-local skill page.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/scitex-ai/crossref-local'

If you have feedback or need assistance with the MCP directory API, please join our Discord server