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The indoor-imdf-mcp MCP server was last committed 1d ago and has 2 contributors. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

indoor-imdf-mcp MCP Server

Name: stephenangle/indoor-imdf-mcp
Rating: 3.3 (1 reviews)
Author: stephenangle

stephenangle/indoor-imdf-mcp

Score: 56.8 Rank #8 MCP Server

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MCP server for the full IMDF indoor mapping pipeline: acquire building footprint, extract floors from PDF, validate for Google Maps Content Partners, and package to ZIP

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Overview

stephenangle/indoor-imdf-mcp is a TypeScript MCP server licensed under MIT. MCP server for the full IMDF indoor mapping pipeline: acquire building footprint, extract floors from PDF, validate for Google Maps Content Partners, and package to ZIP

Ranked #8 out of 129 indexed tools.

In the top 7% of all indexed tools.

Actively maintained with commits in the last week.

Ecosystem

TypeScript MIT

Score Breakdown

Stars 15% 1

1 stars → early stage

Freshness 25% 1d ago

Last commit 1d ago → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 2

2 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 0

Description Detailed

License MIT

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Details

Stars: 1
Forks: 0
Open Issues: 0
Closed Issues: 0
Contributors: 2
Dependents: —
Language: TypeScript
License: MIT
Last Commit: 1d ago

Matched Queries

"mcp server""mcp-server"

From the README

# 🏛️ indoor-imdf-mcp

A Model Context Protocol (MCP) server that covers the **full IMDF generation pipeline** for any venue — from a PDF floor plan to a Google Maps Content Partners-ready ZIP archive.

## 🔁 Full Pipeline (6 Steps)

```
acquire_footprint  →  extract_floor_plan  →  [write_geojson_layer]
       ↓                     ↓                        ↓
  venue polygon          122 units              16 IMDF layers
                                                       ↓
                         validate_imdf_for_google  →  package_imdf_zip  →  ✅ ZIP
```

## 🛠️ Tools

| Step | Tool | Description |
|---|---|---|
| 1 | **`acquire_footprint`** | Google Places API + OSM Overpass → venue building polygon (GeoJSON) |
| 2 | **`extract_floor_plan`** | PDF → 16 complete IMDF layers. Runs PyMuPDF+Shapely via Python subprocess, georeferences using footprint |
| 3/4 | `list_indoor_datasets` / `read_geojson_layer` / `write_geojson_layer` | Inspect and patch individual layers |
| 5 | **`valida

Read full README on GitHub →