Gdex MCP
MCP server for the GDEX (Geoscience Data Exchange) data portal: datasets, files, metrics, subsetting
Connector by rpconroy · GitHub account verified by the MCP Registry
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Install
Works with Claude Code, VS Code, Cursor, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install connector/rpconroy-gdex-mcp
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Remote endpoint
https://gdex-mcp.k8s.ucar.edu/mcpRemote (HTTP)
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About
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Permissions
What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.
- Tools
- 27 read · 2 write · 1 delete
- Secrets
- None asked for
- Install scripts
- Nothing to install (hosted)
- Runs as
- Hosted (remote endpoint)
Tools by what they do 30
Read from the source code; the running server may list different tools.
Read 27 · Look things up without changing anything.
check_request_statusdescribe_datasetfind_dataset_filesget_arco_variablesget_control_file_templateget_data_accessget_dataset_fieldget_dataset_filesget_dataset_metadataget_dataset_metricsget_file_groupsget_filesearch_cyclone_fix_files
Show 15 more tools
get_filesearch_cyclone_fix_filtersget_filesearch_datatypesget_filesearch_grid_filesget_filesearch_grid_filtersget_filesearch_result_pageget_filesearch_sensor_filesget_filesearch_sensor_filtersget_portal_metricsget_request_filesget_staffhas_arcolist_datasetslist_request_statusessearch_arco_variablesvalidate_subset_request
Write 2 · Create, change, send or run things.
submit_and_wait_for_requestsubmit_subset_request
Delete 1 · Delete, drop, revoke or wipe things.
purge_request
Network hosts it talks to 1
gdex-mcp.k8s.ucar.edu· found in remote endpoint, install command
Tools (30)
Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].
check_request_statusCheck the status of a specific subsetting request. Requires GDEX_TOKEN. Args: rindex: Request index/ID
describe_datasetReturn a combined overview of a dataset — abstract, temporal coverage, spatial coverage, variables, data formats, and volume — in a single call. Prefer this over calling get_dataset_field repeatedly when the user wants a general summary of a dataset. If one of the underlying fields fails to load, it's returned as {"error": ...} rather than failing the whole call. Args: dsid: Dataset ID (dNNNNNN), e.g. d083002
find_dataset_filesSearch a dataset's file-group hierarchy for files matching a name pattern (e.g. a date like "20220808"), without ever pulling a large, context-blowing file listing. Automates the pattern described in get_file_groups: recursively calls get_file_groups, descending into every child gindex, until a gindex returns no further children (a leaf group) — then calls get_dataset_files there with filter_wfile=name_pattern and keeps only the matches. Prefer this over manually drilling with get_file_groups/get_dataset_files when you don't already know roughly where in the hierarchy to look. A dataset's hi…
get_arco_variablesReturn the list of ARCO variables available for a dataset. Each row's type (index 2) is either "zarr" or "reference" (kerchunk). A "reference" variable is often listed multiple times, once per kerchunk reference variant (plain, "-remote-https", "-remote-osdf", etc.) — always pick the "-osdf" variant's URL; the others' chunk targets can be internal paths that only resolve on NCAR's network. Open it with xr.open_dataset(url, engine="kerchunk", storage_options={"remote_protocol": "https", "lazy": True}) — that's better behaved than hand-building an fsspec reference filesystem. A "zarr" row needs…
get_control_file_templateReturn the control file template for building a subsetting request for a dataset. Args: dsid: Dataset ID (dNNNNNN), e.g. d083002
get_data_accessReturn data access options for a dataset — download links, Globus URLs, access methods. Args: dsid: Dataset ID (dNNNNNN), e.g. d083002
get_dataset_fieldReturn one metadata field for a dataset. Prefer describe_dataset when the user wants a general summary covering several of these at once (abstract, temporal, spatial_coverage, variables, data_formats, volume) — this tool is for pulling a single field, including the fields describe_dataset doesn't cover (publications, contributors, related_datasets, documentation). Args: dsid: Dataset ID (dNNNNNN), e.g. d083002 field: One of: abstract, variables, temporal, spatial_coverage, publications, contributors, data_formats, volume, related_datasets, documentation
get_dataset_filesReturn a paginated file listing for a dataset or a specific group. Depending on how deep gindex is in the group hierarchy, this returns either actual file rows or another layer of subgroup summaries — there's no way to tell in advance which you'll get. If you get subgroups, read the gindex (or url) off a row and call again with that gindex to go one level deeper; gindex values are dataset-specific and can't be guessed. A shallow gindex on a large dataset can return a very large response (thousands of files) — the file-row portion of the response is capped at 500 rows (look for "_truncated": …
get_dataset_metadataReturn full metadata for a GDEX dataset (parameters, temporal range, spatial coverage, etc.). Args: dsid: Dataset ID (dNNNNNN), e.g. d083002
get_dataset_metricsReturn a per-dataset metric. Args: dsid: Dataset ID (dNNNNNN), e.g. d083002 metric: One of: users_month, users_year, volume_month, volume_year
get_file_groupsReturn file groups for a dataset. Pass gindex to get child groups under a parent. Groups nest (dataset -> format -> year -> month, or similar, varying by dataset) and there's no way to predict a child's gindex in advance — each group's gindex/url is dataset-specific and only knowable from the parent response. To drill down, read the gindex (or url) off a row in this response and pass that as the next call's gindex. This never returns file rows, only groups — every response stays small regardless of how many files the dataset holds, unlike get_dataset_files. Descend until a call returns empty…
get_filesearch_cyclone_fix_filesSearch for data files containing "cyclone_fix" datatype data, optionally filtered by time range. Results are paginated; use get_filesearch_result_page with the returned result_id to fetch additional pages. Args: dsid: Dataset ID (dNNNNNN), e.g. d083002 valid_datetime_min: Restrict to data valid on/after "YYYY-MM-DD HH:MM" valid_datetime_max: Restrict to data valid on/before "YYYY-MM-DD HH:MM"
get_filesearch_cyclone_fix_filtersReturn the valid date range and other filters for "cyclone_fix" datatype file search on a dataset. Args: dsid: Dataset ID (dNNNNNN), e.g. d083002 valid_datetime_min: Restrict to data valid on/after "YYYY-MM-DD HH:MM" valid_datetime_max: Restrict to data valid on/before "YYYY-MM-DD HH:MM"
get_filesearch_datatypesReturn the file-search datatypes available for a dataset (a subset of "grid", "cyclone_fix", "sensor"). Call this before the other filesearch_* tools to know which one(s) apply — a dataset only supports search for the datatypes it actually contains. Args: dsid: Dataset ID (dNNNNNN), e.g. d083002
get_filesearch_grid_filesSearch for data files containing "grid" datatype data, filtered by parameter code(s) and optionally by time range, product, grid, or level. Results are paginated; use get_filesearch_result_page with the returned result_id to fetch additional pages. Use get_filesearch_grid_filters first to find valid parameter/product/grid/level codes for this dataset. Args: dsid: Dataset ID (dNNNNNN), e.g. d083002 parameters: Parameter code(s) to search for (required, at least one) valid_datetime_min: Restrict to data valid on/after "YYYY-MM-DD HH:MM" valid_datetime_max: Restrict to data valid…
Show 15 more tools
get_filesearch_grid_filtersReturn the valid parameter/product/grid/level codes and date range for "grid" datatype file search on a dataset. Use this to discover the codes to pass to get_filesearch_grid_files, optionally narrowed by any filters you already know you want. Args: dsid: Dataset ID (dNNNNNN), e.g. d083002 valid_datetime_min: Restrict to data valid on/after "YYYY-MM-DD HH:MM" valid_datetime_max: Restrict to data valid on/before "YYYY-MM-DD HH:MM" parameters: Restrict to specified parameter code(s) products: Restrict to specified product code(s) grids: Restrict to specified grid code(s)…
get_filesearch_result_pageReturn a page of results from a previous get_filesearch_*_files call, by its result_id. Use this to page through file-search results beyond the first page (see the "pagination" block of a files/results response for num_pages and next_page). Args: dsid: Dataset ID (dNNNNNN), e.g. d083002 result_id: The result_id from a previous filesearch files/results response page_num: Page number to retrieve
get_filesearch_sensor_filesSearch for data files containing "sensor" datatype data, optionally filtered by date range. Results are paginated; use get_filesearch_result_page with the returned result_id to fetch additional pages. Args: dsid: Dataset ID (dNNNNNN), e.g. d083002 valid_date_min: Restrict to data valid on/after "YYYY-MM-DD" valid_date_max: Restrict to data valid on/before "YYYY-MM-DD"
get_filesearch_sensor_filtersReturn the valid date range and other filters for "sensor" datatype file search on a dataset. Args: dsid: Dataset ID (dNNNNNN), e.g. d083002 valid_date_min: Restrict to data valid on/after "YYYY-MM-DD" valid_date_max: Restrict to data valid on/before "YYYY-MM-DD"
get_portal_metricsReturn a GDEX portal-wide metric. Args: metric: One of: volume_downloaded, unique_users, total_datasets, total_citations, gdex_volume, total_requests, top_datasets, ai_datasets
get_request_filesReturn the output files for a completed subsetting request. Requires GDEX_TOKEN. Args: rindex: Request index/ID
get_staffReturn GDEX staff contacts, optionally filtered to a specific dataset. Args: dsid: Optional dataset ID. If omitted, returns all staff.
has_arcoCheck whether Analysis-Ready Cloud-Optimized (ARCO) data is available for a dataset. For analysis tasks, call this (and check for a "Kerchunk Reference Files" group via get_file_groups) before reaching for raw data files — reading through ARCO/kerchunk references avoids downloading whole files just to subset them. When picking among kerchunk reference variants, always use the one with "-osdf" in its name (see get_arco_variables) — other variants' chunk targets can be internal paths that only resolve on NCAR's network. Open it with xr.open_dataset(url, engine="kerchunk", storage_options={"remo…
list_datasetsList datasets available on GDEX, with their IDs and titles. The full catalog has ~1700 datasets — far too many to return at once. Always pass `query` to filter by keyword unless the user specifically wants to browse the whole catalog page by page. Args: query: Keyword(s) to filter by, matched case-insensitively as a substring against dataset id and title. Leave empty to browse unfiltered. limit: Max number of datasets to return (default 50, capped at 500) offset: Number of matching datasets to skip, for paging through results
list_request_statusesList all subsetting request statuses for the authenticated user. Requires GDEX_TOKEN.
purge_requestDelete a subsetting request and its output files. Requires GDEX_TOKEN. Args: rindex: Request index/ID to purge
search_arco_variablesSearch ARCO variables by name for a dataset. As with get_arco_variables, a "reference" (kerchunk) match is often listed once per variant — always pick the "-osdf" variant's URL (reachable from anywhere), and open it with xr.open_dataset(url, engine="kerchunk", storage_options={"remote_protocol": "https", "lazy": True}). A "zarr" match needs no variant picking — its URL already routes through the OSDF director (rewritten automatically); open it directly with xr.open_dataset(url, engine="zarr"). Args: dsid: Dataset ID (dNNNNNN), e.g. d083002 query: Search text to match against variable…
submit_and_wait_for_requestSubmit a subset request and poll its status until it finishes, fails, or timeout_s elapses — instead of calling submit_subset_request and then manually looping on check_request_status. Requires GDEX_TOKEN. GDEX's API schema doesn't document the exact status vocabulary, so "finished" is a best-effort match on the status text (words like "complete" vs. "error"/"fail"). If the outcome comes back "timeout", that means the request is still pending by our reading, not that it failed — keep polling with check_request_status(rindex), or re-run this tool with a longer timeout_s. If it comes back "unkn…
submit_subset_requestSubmit a data subset request to GDEX. Requires GDEX_TOKEN. Args: request_json: JSON string of the subsetting request body. Use get_control_file_template to get the expected structure for a dataset, or validate_subset_request to check it before submitting.
validate_subset_requestCheck a subset request body against the dataset's control file template, without submitting anything. Use this before submit_subset_request to catch missing or unrecognized fields fast, instead of finding out from a failed API call. Args: dsid: Dataset ID (dNNNNNN), e.g. d083002 request_json: JSON string of the subsetting request body to validate
Signals
- Stars
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- Last commit
- Oct 1, 2026 (29 days ago)
- Last release
- Sep 24, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- Registry name
io.github.rpconroy/gdex-mcp- Version
- 0.1.0
- Auth
- Auth not stated
- License
- License unknown
- Repository
- github.com/NCAR/gdex-mcp
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
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Gdex MCP. Agent Mart. https://agentmart.dev/connectors/rpconroy-gdex-mcp (last updated 2026-10-24)