WildDatum MCP server
io.github.krnzt/wilddatum·v0.1.0-alpha.3Agent-native ecological data discovery, analysis, visualization, and provenance
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WildDatum tools
No tool declarations could be read from the package source. They show once the server is installed.
Public scan report
scanner v0.1.10 · 2026-10-30 · same rubric, same numbers if you re-run it
- –Code scanpackage could not be scannedn/a
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 61 days ago12/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
How WildDatum compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 80/100
- higher than 60% of 4,461 AI and agents servers
Install WildDatum in Claude Code, Cursor or VS Code
The registry entry has no remote endpoint or installable package.
What the publisher says
From the WildDatum repository's README, as published. We do not edit it. Read it on GitHub
WildDatum
WildDatum is a local-first ecological data workbench exposed as a standard Model Context Protocol server. It lets Codex, Claude, and other MCP agents discover, materialize, query, visualize, select, and cite scientific data without putting credentials, private paths, or millions of rows into model context.
NEON plus public ERDDAP services from EMSO ERIC, ICOS Carbon Portal, and Euro-Argo/Ifremer are built-in remote providers. Local tabular, raster, vector, point-cloud, image, hyperspectral, and N-dimensional array sources use the same provider-independent manifest, query, view, selection, and provenance model.
“Compare this NEON LiDAR tile with its hyperspectral cube. Show them together,
let me select an individual return or image pixel, then query the exact source
point or spectrum behind my selection.”
A real WildDatum browser session using Rerun Web Viewer: a 6.6-million-point NEON LAS tile, a 500×500×107 reflectance cube, immutable provenance, and a verified selection mapped back to LAS source row 2,543,044.
<!-- mcp-name: io.github.krnzt/wilddatum -->
The human–agent loop
scientific question
→ discover products, sites, and local assets
→ construct and approve a reproducible data plan
→ materialize immutable, checksum-verified sources
→ query and render a bounded multimodal Rerun view
→ human clicks, brushes, filters, or selects
→ WildDatum records that interaction as scientific state
→ agent queries the exact selected source data
→ export results, transformations, provenance, and citationThe visualization is not just a picture for the model to inspect. EcoViewSpec is authoritative view state and SemanticSelection is authoritative interaction state. A Rerun recording is a regenerable rendering artifact. For verified WildDatum point batches, an instance pick maps back to an exact LAS/LAZ source row; for a mapped cube, an image click maps back to the complete source spectrum. For linked trajectories and vertical profiles, a map or profile point maps back to the exact physical CSV/TSV, Parquet, or Arrow record, including provider-native QC values.
What works in the alpha
materialization, checksum, release, license, and citation handling.
- A normal MCP 2026-07-28 stdio server registerable with Codex and Claude Code.
- Public NEON catalog discovery plus reproducible plan, approval, background
tabledap/griddap subsets, redirect-aware approval, streaming materialization, license, citation, and live-source provenance.
- Public EMSO, ICOS ERDDAP, and Euro-Argo catalog discovery plus validated
dataset IDs.
- Out-of-band local imports with streaming fingerprints and opaque agent-facing
reads, and bounded HDF5/NetCDF/Zarr N-dimensional slices.
- Arrow/DataFusion tabular queries, spatial raster/vector queries, indexed COPC
mapped scientific cubes, and linked geographic trajectories/vertical profiles.
- Native and browser Rerun views for tables, images, GeoTIFFs, vectors, LiDAR,
queries and exported as CSV, Parquet, COG, or RO-Crate where applicable.
- Durable human selections that can be converted into provenance-linked source
JSON-RPC contract; an RI contributor can work in Rust, Python, R, Go, or another language without adding provider-specific MCP tools.
- Language-neutral community provider subprocesses with a provider-neutral v2
Alpha.3: linked scientific views
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Grade history
- 2026-10-30downgradeA → Bscore 80
WildDatum: common questions
- Is WildDatum MCP server safe?
- Mostly: it is graded B (80/100). Read the WildDatum safety report
- Does WildDatum need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is WildDatum maintained?
- The last commit was 68 days ago (2026-08-30). The latest release is v0.1.0-alpha.3.
- What can I use instead of WildDatum?
- Servers from other publishers that do the same job: MCP Server for WinDbg Crash Analysis, Agent-Native Slides MCP server and Ts Core MCP server.
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