# Terranode Geospatial API

> Use this tool when you need to analyze and process US geospatial data, solving problems such as identifying locations within specific boundaries, finding nearby features, or combining datasets based on spatial relationships. It provides point-in-polygon, nearest feature, spatial join, and distance calculations as core functionalities. The API takes in geospatial datasets and query parameters as inputs, returning results such as spatial joins, nearest features, and distance calculations as outputs.

Canonical page: https://skillsregistry.net/skills/io-github-terranode-co-mcp-server-terranode  
JSON: https://api.skillsregistry.net/v1/skills/io-github-terranode-co-mcp-server-terranode

## Description

Point-in-polygon, nearest feature, spatial join, and distance tools for US geospatial datasets

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.1.8
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.terranode-co%2Fmcp-server-terranode)
- **Repository:** <https://github.com/terranode-co/mcp-server-terranode>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-terranode-co-mcp-server-terranode"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-terranode-co-mcp-server-terranode` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-terranode-co-mcp-server-terranode/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt