Skip to main content
Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
SSE_HOSTNoBind address for SSE mode127.0.0.1
SSE_PORTNoPort for SSE mode8000
LOG_LEVELNoLevel of logging (outputs to stderr to protect transport channel)INFO
TRANSPORTNoTransport protocol: stdio (local subprocess) or sse (network)stdio
CACHE_ENABLEDNoEnables in-memory TTL cachetrue
ZENODO_API_URLNoAPI URL (use https://sandbox.zenodo.org/api for sandbox)https://zenodo.org/api
REQUEST_TIMEOUTNoNetwork request timeout in seconds30
ZENODO_ACCESS_TOKENNoOptional token for higher rate limits (100 vs 25 results/page)

Capabilities

Features and capabilities supported by this server

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

Tools

Functions exposed to the LLM to take actions

NameDescription
cite_recordA

Generate a citation for a Zenodo record in a given style.

Provide either record_id or doi (not both).

Parameters

record_id : int, optional The Zenodo record ID. doi : str, optional The DOI of the record. style : str Citation style: apa, bibtex, ris, mla, chicago, harvard (default: apa).

Returns

dict Citation text, style used, and DOI.

export_metadataA

Export record metadata in a structured format.

Parameters

record_id : int The Zenodo record ID. format : str Output format: json, yaml, bibtex, ris (default: json).

Returns

str Formatted metadata string.

find_training_datasetsA

Find and evaluate datasets suitable for training ML models.

Parameters

task : str Machine learning task description (e.g. "image classification", "ner"). modality : str, optional Filter by modality: image, text, audio, tabular, video. license_filter : str License requirements: permissive (MIT, Apache, CC-BY, CC0), copyleft (GPL, CC-BY-SA), any. min_size_mb : float, optional Minimum total file size. max_size_mb : float, optional Maximum total file size.

Returns

list[dict] Ranked dataset recommendations tailored for machine learning.

generate_data_cardA

Produce a concise, structured AI-friendly summary ("data card") of a dataset.

Extracts modality, file formats, license, citations, intended use, and limitations.

Parameters

record_id : int The Zenodo record ID.

Returns

dict Structured data card.

evaluate_reusabilityB

Evaluate and score a Zenodo record's reusability.

Grades license quality, metadata completeness, documentation length, file format openness, and versioning.

Parameters

record_id : int The Zenodo record ID.

Returns

dict Reusability score (0-100), detailed breakdown, and recommendations.

build_research_bundleA

Assemble a reproducible bundle of related scientific items.

Traverses relationships to group the paper, dataset, source code, and citations into a unified reproducibility package.

Parameters

record_id : int The Zenodo record ID.

Returns

dict Research bundle metadata containing linked items, all citations, and a reproducibility score.

compare_recordsA

Compare metadata, stats, and sizes of two Zenodo records side-by-side.

Parameters

record_id_a : int First record ID. record_id_b : int Second record ID.

Returns

dict Structured comparison of differences in resource type, license, date, size, stats, and file counts.

recommend_datasetA

Provide ranked dataset recommendations for a natural language request.

Finds datasets, processes metadata details, and scores them on completeness, popularity, and documentation.

Parameters

query : str Natural language prompt (e.g. "I need an image dataset for object detection"). page : int Page of results. size : int Number of recommendations.

Returns

list[dict] List of dataset recommendations with matching reasons.

resolve_doiA

Resolve a DOI to its Zenodo record metadata.

Supports full DOIs (10.5281/zenodo.1234567), DOI URLs (https://doi.org/10.5281/zenodo.1234567), and Zenodo-specific DOI formats.

Parameters

doi : str The DOI to resolve.

Returns

dict Record summary with title, DOI, creators, date, type, license, and URL. Raises an error if the DOI is invalid or not found on Zenodo.

search_by_licenseA

Find records under a specific license.

Parameters

license : str License identifier (e.g. "MIT", "Apache-2.0", "CC-BY-4.0", "cc0-1.0"). query : str, optional Additional search query parameters. sort : str Sort order. page : int Page number. size : int Results per page.

Returns

list[dict] List of matching record summaries.

inspect_licenseA

Analyze the properties of a license.

Provide either record_id to inspect the record's license, or license_id directly.

Parameters

record_id : int, optional Zenodo record ID to inspect. license_id : str, optional SPDX license identifier (e.g. "MIT").

Returns

dict License info properties (commercial use, open access, attribution, etc.).

get_recordB

Retrieve complete metadata for a Zenodo record.

Parameters

record_id : int The numeric Zenodo record ID.

Returns

dict Full record metadata including abstract, authors, keywords, license, funding, communities, files, related identifiers, and version info.

list_filesA

List all files in a Zenodo record with metadata and download URLs.

The agent receives URLs and can use them as needed. No files are written to disk by this tool.

Parameters

record_id : int The numeric Zenodo record ID.

Returns

list[dict] List of files with filename, size, type, checksum, and download URL.

related_recordsA

Find records related to the given record.

Extracts related identifiers from the record metadata and groups them by relationship type (e.g. isSupplementTo, cites, isPartOf).

Parameters

record_id : int The numeric Zenodo record ID.

Returns

dict Related records grouped by relationship type.

search_recordsA

Search Zenodo records with rich filtering.

Parameters

query : str Free-text search query (supports Elasticsearch syntax). communities : str, optional Filter by community ID (e.g. "zenodo", "openaire"). creators : str, optional Filter by creator name. license : str, optional Filter by license (e.g. "MIT", "CC-BY-4.0"). keywords : str, optional Filter by keyword. resource_type : str, optional Filter by type: dataset, publication, software, image, video, lesson, poster, presentation. access_right : str, optional Filter by access: open, closed, embargoed, restricted. date_from : str, optional Start date (YYYY-MM-DD). date_to : str, optional End date (YYYY-MM-DD). sort : str Sort order: "bestmatch" (default) or "mostrecent". page : int Page number (default 1). size : int Results per page (default 10, max 100).

Returns

list[dict] List of record summaries with title, DOI, creators, date, type, license, and URL.

search_by_communityA

Search for records within a specific Zenodo community.

Parameters

community : str Community ID (e.g. "zenodo", "openaire", "cern"). query : str, optional Additional search query to filter within the community. sort : str Sort order: "bestmatch" or "mostrecent". page : int Page number. size : int Results per page.

Returns

list[dict] List of matching record summaries.

search_by_funderA

Search for records funded by a specific organization.

Parameters

funder : str Funder name (e.g. "NSF", "European Commission", "NIH"). query : str, optional Additional search query. sort : str Sort order. page : int Page number. size : int Results per page.

Returns

list[dict] List of matching record summaries.

latest_versionA

Get the latest version and full version timeline of a record.

Parameters

record_id : int Any version's record ID — the tool finds all versions automatically.

Returns

dict Latest version summary, list of all versions with dates and DOIs, and total version count.

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/Agostynah/Zenodo-mcp'

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