Agent skill

Geo MCP Servers

Browse, search, and recommend geospatial / GIS / mapping / earth-observation MCP servers, and add newly discovered ones to the tracked list.

MITAuto-check passedAgent Workflows

Install Geo MCP Servers

skills CLI

$ npx skills add sparkgeo/geo-mcp-servers --skill geo-mcp-servers -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install sparkgeo/geo-mcp-servers geo-mcp-servers --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/sparkgeo/geo-mcp-servers.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skill .claude/skills/geo-mcp-servers && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "geo-mcp-servers" agent skill from https://github.com/sparkgeo/geo-mcp-servers/tree/main/skill into .claude/skills/geo-mcp-servers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-mcp-servers", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/sparkgeo/geo-mcp-servers/tree/main/skill

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add sparkgeo/geo-mcp-servers --skill geo-mcp-servers -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install sparkgeo/geo-mcp-servers geo-mcp-servers --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/sparkgeo/geo-mcp-servers.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skill .agents/skills/geo-mcp-servers && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "geo-mcp-servers" agent skill from https://github.com/sparkgeo/geo-mcp-servers/tree/main/skill into .agents/skills/geo-mcp-servers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-mcp-servers", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add sparkgeo/geo-mcp-servers --skill geo-mcp-servers -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install sparkgeo/geo-mcp-servers geo-mcp-servers --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/sparkgeo/geo-mcp-servers.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skill .cursor/skills/geo-mcp-servers && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "geo-mcp-servers" agent skill from https://github.com/sparkgeo/geo-mcp-servers/tree/main/skill into .cursor/skills/geo-mcp-servers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-mcp-servers", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/sparkgeo/geo-mcp-servers.git --path skill

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add sparkgeo/geo-mcp-servers --skill geo-mcp-servers -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install sparkgeo/geo-mcp-servers geo-mcp-servers --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/sparkgeo/geo-mcp-servers.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skill .gemini/skills/geo-mcp-servers && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "geo-mcp-servers" agent skill from https://github.com/sparkgeo/geo-mcp-servers/tree/main/skill into .gemini/skills/geo-mcp-servers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-mcp-servers", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install sparkgeo/geo-mcp-servers geo-mcp-servers

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add sparkgeo/geo-mcp-servers --skill geo-mcp-servers -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/sparkgeo/geo-mcp-servers.git skills-src && mkdir -p .github/skills && cp -r skills-src/skill .github/skills/geo-mcp-servers && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "geo-mcp-servers" agent skill from https://github.com/sparkgeo/geo-mcp-servers/tree/main/skill into .github/skills/geo-mcp-servers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-mcp-servers", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add sparkgeo/geo-mcp-servers --skill geo-mcp-servers -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install sparkgeo/geo-mcp-servers geo-mcp-servers --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/sparkgeo/geo-mcp-servers.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skill .opencode/skills/geo-mcp-servers && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "geo-mcp-servers" agent skill from https://github.com/sparkgeo/geo-mcp-servers/tree/main/skill into .opencode/skills/geo-mcp-servers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-mcp-servers", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: geo-mcp-servers
GitHub stars: 119
Token cost: ~809 tokens
SKILL.md length: 288 words
Files: 1
Skills in repo: 1
Repo updated: Oct 9, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Browse, search, and recommend geospatial / GIS / mapping / earth-observation MCP servers, and add newly discovered ones to the tracked list.

Works in 3 steps: Read the catalog data → Match the user's need to a category and… → Recommend the closest 1–3 servers with…
The user asks is there an MCP server for <geospatial thing
SKILL.md covers Locate the catalog, Find / recommend a server, Add a newly discovered server and Notes
Calls python3

What it does

Geo MCP Servers is an agent skill from sparkgeo/geo-mcp-servers. Browse, search, and recommend geospatial / GIS / mapping / earth-observation MCP servers, and add newly discovered ones to the tracked list. Use when the user asks "is there an MCP server for <geospatial thing", wants to find a geocoding/routing/PostGIS/STAC/imagery/weather MCP server, or says they found a new geo MCP server to track.

Its SKILL.md is about 810 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Geospatial analysis and MCP servers. It works with Model Context Protocol. The repository describes itself as: A curated, tracked list of Model Context Protocol (MCP) servers for geospatial, GIS, mapping, and earth-observation work — geocoding, routing, PostGIS, STAC/imagery, QGIS/ArcGIS… The licence is MIT.

When your agent uses it

The user asks is there an MCP server for <geospatial thing
Wants to find a geocoding/routing/PostGIS/STAC/imagery/weather MCP server
Says they found a new geo MCP server to track

Example prompts

“is there an MCP server for <geospatial thing”
“/geo-mcp-servers”

Requirements

Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

Read the catalog data
Match the user's need to a category and to entry tags/description.
Recommend the closest 1–3 servers with their URLs and a one-line why. If

What it can do on your machine

Read from SKILL.md and the folder at commit c9a683c. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Geo MCP Servers loads about 809 tokens when it runs. Until then it costs about 88 tokens; SKILL.md has 288 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~88
When it runs · the whole SKILL.md, loaded when a task matches: ~809

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sparkgeo/geo-mcp-servers at commit c9a683c, republished under its MIT licence (© sparkgeo). 288 words, ~809 tokens.

Download SKILL.mdSave it as .claude/skills/geo-mcp-servers/SKILL.md (or your agent's skills folder).

name: geo-mcp-servers
description: Browse, search, and recommend geospatial / GIS / mapping / earth-observation MCP servers, and add newly discovered ones to the tracked list. Use when the user asks "is there an MCP server for <geospatial thing>", wants to find a geocoding/routing/PostGIS/STAC/imagery/weather MCP server, or says they found a new geo MCP server to track.
license: MIT

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:

bash

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.

Read the catalog data:

bash

REPO="$(cd "$(dirname "$(readlink ~/.claude/skills/geo-mcp-servers)")" && pwd -P)"
cat "$REPO/servers.yaml"

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.
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"):

Confirm it's real and geospatial — fetch/inspect the source URL if needed.
Check it isn't already in servers.yaml (match on url and name).

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

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>

Regenerate the README (the repo ships a .venv with PyYAML):
bash
```
REPO="$(cd "$(dirname "$(readlink ~/.claude/skills/geo-mcp-servers)")" && pwd -P)"
"$REPO/.venv/bin/python" "$REPO/scripts/generate_readme.py"
```
If $REPO/.venv is missing (fresh clone), create it once: python3 -m venv "$REPO/.venv" && "$REPO/.venv/bin/pip" install -r "$REPO/requirements.txt".
Report what you added, and offer to commit servers.yaml + README.md together (don't push without asking).

Notes

Never edit the tables in README.md by hand — the generator overwrites them.
Only add official: true when the vendor/owner of the underlying service publishes the server.
Prefer one canonical URL per server (the GitHub repo).

Files

Just SKILL.md in skill of sparkgeo/geo-mcp-servers.

Open the folder on GitHubat commit c9a683c

Compare with similar skills

Geo MCP Servers next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Geo MCP Servers compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Geo MCP Servers this skillsparkgeo/geo-mcp-servers	119	—	~809	Automated safety check: Pass	MIT	yesterday
MCP Google Map Projectcablate/mcp-google-map	469	—	~774	Automated safety check: Pass	MIT	14 days ago
Cesium Quickstartgaopengbin/cesium-mcp	140	—	~354	Automated safety check: Pass	MIT	today
Orchardokooo5km/Skills4U	183	—	~5k	Automated safety check: Warn	MIT	4 days ago
Cesium Mapgaopengbin/cesium-mcp	140	—	~964	Automated safety check: Pass	MIT	today
Skill Seekers Builderyusufkaraaslan/Skill_Seekers	15k	—	~760	Automated safety check: Pass	MIT	10 days ago

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Works with

Model Context Protocol

Questions about Geo MCP Servers

What does Geo MCP Servers do?

Browse, search, and recommend geospatial / GIS / mapping / earth-observation MCP servers, and add newly discovered ones to the tracked list. Geo MCP Servers is an agent skill from sparkgeo/geo-mcp-servers. Browse, search, and recommend geospatial / GIS / mapping / earth-observation MCP servers, and add newly discovered ones to the tracked list.

When should I use Geo MCP Servers?

Geo MCP Servers fits situations like: the user asks is there an MCP server for <geospatial thing; wants to find a geocoding/routing/PostGIS/STAC/imagery/weather MCP server; says they found a new geo MCP server to track.

How do I install Geo MCP Servers in Claude Code?

Run `npx skills add sparkgeo/geo-mcp-servers --skill geo-mcp-servers -a claude-code`. Or copy the skill folder (skill in sparkgeo/geo-mcp-servers) into .claude/skills/geo-mcp-servers in your project. Claude Code loads it when a task matches its description.

How do I install Geo MCP Servers in Codex?

Run `npx skills add sparkgeo/geo-mcp-servers --skill geo-mcp-servers -a codex`. Or copy the skill folder (skill in sparkgeo/geo-mcp-servers) into .agents/skills/geo-mcp-servers in your project. Codex loads it when a task matches its description.

Can I use Geo MCP Servers in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sparkgeo/geo-mcp-servers --skill geo-mcp-servers -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/geo-mcp-servers, .gemini/skills/geo-mcp-servers, .github/skills/geo-mcp-servers and .opencode/skills/geo-mcp-servers in your project.

What does Geo MCP Servers need to run?

Going by SKILL.md and its folder, Geo MCP Servers needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Geo MCP Servers access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Geo MCP Servers safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Geo MCP Servers use?

Geo MCP Servers is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Geo MCP Servers use?

About 809 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Geo MCP Servers?

Skills that share tags, products or a category with Geo MCP Servers: MCP Google Map Project (cablate/mcp-google-map, 469 stars), Cesium Quickstart (gaopengbin/cesium-mcp, 140 stars), Orchard (okooo5km/Skills4U, 183 stars) and Cesium Map (gaopengbin/cesium-mcp, 140 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Geo MCP Servers?

sparkgeo (a GitHub organization) maintains it in sparkgeo/geo-mcp-servers, which has 119 GitHub stars. The repository was last updated on October 9, 2026.

Source: sparkgeo/geo-mcp-servers on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Geo MCP Servers

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Geospatial MCP Servers

Locate the catalog

Find / recommend a server

Add a newly discovered server

Notes

Files

Compare with similar skills

Similar skills

MCP Google Map Project

Cesium Quickstart

Orchard

Cesium Map

Skill Seekers Builder

Sandbase

Related

Questions about Geo MCP Servers