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contextualizer-ai

artl-mcp

by contextualizer-ai
OverviewSchemaRelated ServersScoreDiscussions
Python
Remote

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
ARTL_TEMP_DIRNoTemporary directory (default: system temp + artl-mcp)
ARTL_EMAIL_ADDRYesInstitutional email address required for several literature APIs
ARTL_OUTPUT_DIRNoDirectory for CLI output files (default: ~/Documents/artl-mcp)
ARTL_KEEP_TEMP_FILESNoWhether to keep temp files (default: false)

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": true
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
search_europepmc_papersA

Search Europe PMC for papers without saving results to a file.

This function wraps the _search_europepmc_papers function and disables file saving. It retrieves metadata about papers matching the given keywords.

Args: keywords (str): The search query string containing keywords to look for. max_results (int, optional): The maximum number of results to return. Defaults to 10. result_type (str, optional): The type of results to retrieve. Options include "lite" (basic metadata) and "core" (detailed metadata). Defaults to "lite".

Returns: list[dict]: A list of dictionaries, where each dictionary contains metadata about a paper matching the search query.

Example: >>> results = search_europepmc_papers("machine learning", max_results=5) >>> for paper in results: ... print(paper["title"])

get_europepmc_paper_by_idC

MCP wrapper - Get Europe PMC paper metadata without file saving.

get_all_identifiers_from_europepmcC

MCP wrapper - Get all identifiers without file saving.

get_europepmc_full_textC

MCP wrapper - Get full text without file saving.

get_europepmc_pdf_as_markdownC

MCP wrapper - Convert PDF to Markdown without file saving.

get_pmc_supplemental_materialA

Gets Supplemental Material for a PubMed Central Open Access article.

Supports multiple PubMed Central ID in the following input formats:

  • Prefixed: PMC12345678

  • Numeric: 12345678

  • Prefixed with colon: PMC:12345678

Args: pmcid: PubMed Central ID in any supported format idx: The file index to retrieve offset: Character offset to start from (default: 0) limit: Maximum number of characters to return (default: None for all)

Returns: A Supplemental Material file content, optionally windowed.

Examples: >>> get_pmc_supplemental_material("PMC12345678", 1) 'Supplementary Material...' >>> get_pmc_supplemental_material("PMC:12345678", 1, offset=100, limit=500) 'Supplementary Material...'

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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