artl-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| ARTL_TEMP_DIR | No | Temporary directory (default: system temp + artl-mcp) | |
| ARTL_EMAIL_ADDR | Yes | Institutional email address required for several literature APIs | |
| ARTL_OUTPUT_DIR | No | Directory for CLI output files (default: ~/Documents/artl-mcp) | |
| ARTL_KEEP_TEMP_FILES | No | Whether to keep temp files (default: false) |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_europepmc_papersA | Search Europe PMC for papers without saving results to a file. This function wraps the 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:
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
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 6 tools
Each tool has a distinct purpose: search, metadata retrieval, full text, PDF conversion, supplementary material, and identifier listing. However, 'get_europepmc_full_text' and 'get_europepmc_pdf_as_markdown' may cause slight ambiguity about which to use for full content.
Most tools use 'get_' or 'search_' prefixes with 'europepmc' in the name, but 'get_pmc_supplemental_material' breaks the pattern by using 'pmc' instead of 'europepmc' and omitting the prefix. This inconsistency could confuse agents.
Six tools is a reasonable number for interacting with Europe PMC. It covers essential operations without being excessive, though the scope is narrow (read-only access).
The set covers searching, metadata retrieval, full text, PDF conversion, and supplemental material. Missing are write operations (not expected here) and perhaps citation/reference tools, but overall it's well-rounded for read access.