geo-mcp-servers

geo-mcp-servers is a skill for Claude Code, Codex from sparkgeo/geo-mcp-servers. It costs 84 tokens per session (877 once invoked), scanned A, original, MIT.

A catalogue of MCP servers for geospatial work. MCP servers connect an AI assistant to tools and data, while geospatial work covers maps, locations, geographic databases, and Earth imagery.

In plain words
What is it for?
It helps find and recommend servers for geocoding, routing, maps, PostGIS databases, satellite imagery, weather, and related work.
Why use it?
It saves time when looking for a suitable server for a mapping or geographic-data task.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths.

Good fit It helps find and recommend servers for geocoding, routing, maps, PostGIS databases, satellite imagery, weather, and related work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sparkgeo/geo-mcp-servers/skill
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add sparkgeo/geo-mcp-servers --skill skill
Clone the repo
git clone --depth 1 https://github.com/sparkgeo/geo-mcp-servers

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for geo-mcp-servers

README.md
[![agentmods](https://agentmods.dev/badge/skills/sparkgeo/geo-mcp-servers/skill/github.svg)](https://agentmods.dev/skills/sparkgeo/geo-mcp-servers/skill)
Your own site
<a href="https://agentmods.dev/skills/sparkgeo/geo-mcp-servers/skill"><img src="https://agentmods.dev/badge/skills/sparkgeo/geo-mcp-servers/skill/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for geo-mcp-servers

Your own site · 80×15
<a href="https://agentmods.dev/skills/sparkgeo/geo-mcp-servers/skill"><img src="https://agentmods.dev/badge/skills/sparkgeo/geo-mcp-servers/skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 877 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 78
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00084 $0.00877
Opus 5 $0.00042 $0.00439
Sonnet 5 $0.00017 $0.00175
Haiku 4.5 $0.00008 $0.00088

Measured 10d ago against content hash 0a4011ea47c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

geo-mcp-servers scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skill/SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Geospatial MCP Servers

This skill wraps a curated, version-controlled catalog of MCP servers for geospatial work. servers.yaml is the source of truth; README.md is generated from it.

Locate the catalog

The skill is installed at ~/.claude/skills/geo-mcp-servers, a symlink into the cloned repo's skill/ directory. Resolve the repo root from it — do not assume any absolute path:

REPO="$(cd "$(dirname "$(readlink ~/.claude/skills/geo-mcp-servers)")" && pwd -P)"
echo "$REPO"   # repo root — parent of the skill dir

If readlink returns nothing (the skill was copied rather than symlinked), ask the user where they cloned geo-mcp-servers, or search for it, e.g. find ~ -name servers.yaml -path '*geo-mcp-servers*' 2>/dev/null. Use the resolved $REPO in every command below.

Find / recommend a server

  1. Read the catalog data:

    REPO="$(cd "$(dirname "$(readlink ~/.claude/skills/geo-mcp-servers)")" && pwd -P)"
    cat "$REPO/servers.yaml"
    
  2. Match the user's need to a category and to entry tags/description. Categories include: geocoding, routing, mapping, database (PostGIS/DuckDB), remote_sensing (STAC/EO), weather, desktop_gis (QGIS/ArcGIS), toolkit, data_access, other.

  3. Recommend the closest 1–3 servers with their URLs and a one-line why. If nothing fits, say so plainly rather than inventing a server.

Add a newly discovered server

When the user points you at a new geospatial MCP server (a URL, a name, "track this one"):

  1. Confirm it's real and geospatial — fetch/inspect the source URL if needed.

  2. Check it isn't already in servers.yaml (match on url and name).

  3. Append an entry under servers: in $REPO/servers.yaml:

      - name: <Name>
        url: <canonical source URL, prefer GitHub repo>
        description: <one line>
        category: <one of the keys in the categories map>
        author: <person/org>
        language: <Python|TypeScript|...>
        official: <true only for vendor-published>
        tags: [<keywords>]
        added: <YYYY-MM-DD>
    

Read the full file on GitHub · 86 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 86 lines · 84 tokens per session scan A 0a4011ea47c3

Subscribe to this mod's changes

geo-mcp-servers is a skill published in the GitHub repository sparkgeo/geo-mcp-servers (88 stars, last pushed today), licensed MIT. It adds 84 tokens to every session and 877 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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