WildDatum

Agent-native ecological data discovery, analysis, visualization, and provenance

What does this entry provide?

WildDatum is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 48/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. No automated install command is listed; check the repository for manual setup instructions. Review the last-pushed date and repository status before adding WildDatum to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 48/100
Install method: manual
Repo: krnzt/wilddatum
Repo updated: Aug 30, 2026

Install command

See source docs

Install method: manual

Review the upstream source before running this command.

GitHub project

Quality

Repo stars

Repo updated

Aug 30, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-08-30T01:35:55.489226Z",
      "publishedAt": "2026-08-30T01:35:55.489226Z",
      "statusChangedAt": "2026-08-30T01:35:55.489226Z"
    }
  },
  "server": {
    "name": "io.github.krnzt/wilddatum",
    "title": "WildDatum",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "0.1.0-alpha.3",
    "packages": [
      {
        "transport": {
          "type": "stdio"
        },
        "fileSha256": "1805feec93d5520f8c372eb156662200ec3530f74b68839726e5230c744b6c17",
        "identifier": "https://github.com/krnzt/wilddatum/releases/download/v0.1.0-alpha.3/wilddatum-v0.1.0-alpha.3-macos-universal.mcpb",
        "registryType": "mcpb"
      },
      {
        "transport": {
          "type": "stdio"
        },
        "fileSha256": "640e5bc4ebf12243e6cc904bb722a689293a9f699f28cbb429dad86f1ad182dc",
        "identifier": "https://github.com/krnzt/wilddatum/releases/download/v0.1.0-alpha.3/wilddatum-v0.1.0-alpha.3-linux-x86_64.mcpb",
        "registryType": "mcpb"
      }
    ],
    "repository": {
      "url": "https://github.com/krnzt/wilddatum",
      "source": "github"
    },
    "description": "Agent-native ecological data discovery, analysis, visualization, and provenance"
  }
}

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