mcp-arcgis-fallschurch
City of Falls Church GIS — Falls Church, Virginia open geospatial data (ArcGIS).
Install / Use
claude mcp add pipeworx-io -- npx -y github:pipeworx-io/mcp-arcgis-fallschurchIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of mcp-arcgis-fallschurch
mcp-arcgis-fallschurch scores 31/100 on our quality scale, 4484th of 4,606 Development & Engineering skills we index.
Its MCP Server is 958 bytes long, written without headings and no code examples: fairly brief, so expect to fill in details yourself.
It has no GitHub stars yet, so there is no community track record; judge it on its content.
Maintenance, license and trust
- We could not determine when the repository was last updated.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 68/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-10-23. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
mcp-arcgis-fallschurch compared with similar skills
All 4 of these similar skills score higher than mcp-arcgis-fallschurch; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| mcp-arcgis-fallschurch (this skill)by pipeworx-io | 31 | 0 | — | MCP Server |
| taste-skillby Leonxlnx | 100 | 101.1k | 2d ago | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 101.0k | 2d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 77.5k | today | CLAUDE.md |
| ai-job-searchby ai-job-search-dev | 100 | 63.5k | 1d ago | CLAUDE.md |
Frequently asked questions
- How do I install mcp-arcgis-fallschurch?
- Run
claude mcp add pipeworx-io -- npx -y github:pipeworx-io/mcp-arcgis-fallschurch. The install tabs above show the steps for each supported agent. - Which AI agents does mcp-arcgis-fallschurch work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is mcp-arcgis-fallschurch safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It declares no license and scores 68/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is mcp-arcgis-fallschurch still maintained?
- We could not determine when the repository was last updated.
Skill content
View source on GitHub{ "name": "@pipeworx/mcp-arcgis-fallschurch", "version": "0.1.4", "description": "City of Falls Church GIS — Falls Church, Virginia open geospatial data (ArcGIS).", "type": "module", "main": "src/index.ts", "types": "src/index.ts", "bin": { "mcp-arcgis-fallschurch": "bin/cli.js" }, "keywords": ["mcp", "mcp-server", "model-context-protocol", "pipeworx", "arcgis-fallschurch"], "license": "MIT", "repository": { "type": "git", "url": "git+https://github.com/pipeworx-io/mcp-arcgis-fallschurch.git" }, "scripts": { "typecheck": "tsc --noEmit" }, "dependencies": { "@modelcontextprotocol/sdk": "^1.30.0", "tsx": "^4.19.0" }, "devDependencies": { "typescript": "^5.9.3", "@cloudflare/workers-types": "^4.20260405.1" }, "pipeworx": { "sourceHash": "v1-310b393dd4b32696b30610f47bb11827a34755d3effe53661a7a6cce7591453a", "sourceCommit": "71f5325b13bb0ea0de2f0f7207885962ec91a484" } }
Related Skills
taste-skill
101.1kAgent skills that give coding agents taste: art direction, reference images and a browser check instead of generic AI pages
Agent-Reach
101.0kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
headroom
77.5kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
ai-job-search
63.5kThe job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.