# Paris Plaques: Commemorative Memorials AI Agent Connect

> Paris Plaques: Commemorative Memorials provides direct access to the Paris open-data platform. Your AI client can query over 2,600 city plaques and 1,200 dedicated 1939-1945 memorials. Get specific details on inscriptions, materials, centuries, and locations across all 20 arrondissements.

## Overview
- **Category:** government-public-data
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_Bb0xySoiwzvy6E2D4VOQdy7IxWYY2S7522oK4TsM/ai-agent-connect
- **Tags:** paris, france, plaques, memorials, ww2, heritage, keyless

## Description

You can pull precise historical data about Paris street memorials directly into your AI client. This MCP connects to the official Paris open-data platform to give your agent access to two distinct datasets. The first covers roughly 2,600 city plaques, providing details on everything from the specific material used to the exact century and theme of the commemoration. You can filter these by arrondissement, person, or time period. The second dataset focuses on the 1,200+ memorials dedicated to the 1939-1945 period, including full addresses and WGS84 coordinates for mapping. Whether you are researching specific historical figures or looking for the density of memorials in a certain district, your agent handles the data retrieval and filtering automatically.

## Tools

### list_ww2_plaques
This tool lists the 1939-1945 commemorative plaques. It returns the inscription, full address, postal code, and WGS84 coordinates for each record.

### plaque_lookup
This tool finds a specific plaque using its index. It returns the address, placement, inscription, material, century, theme, and the person commemorated.

### count_plaques
This tool provides a fast total count of plaques. You can filter the count by arrondissement, century, theme, or person.

### count_ww2_plaques
This tool returns the total number of 1939-1945 commemorative plaques in the dataset.

### list_plaques
This tool lists the general Paris commemorative plaques. It includes the index, arrondissement, address, placement, inscription, material, century, theme, person, and countries involved.

### plaques_by_arrondissement
This tool counts how many plaques exist within a specific arrondissement (1 through 20).

### plaques_by_century
This tool counts the plaques associated with a specific century or century range.

### plaques_overview
This tool provides a high-level summary of the plaque inventory, including breakdowns of centuries, arrondissements, and materials.

## Prompt Examples

**Prompt:** 
```
How many 19th-century plaques are in the 6th arrondissement?
```

**Response:** 
```
There are 282 plaques from the 19th century in the 6th arrondissement.
```

**Prompt:** 
```
What are the most common plaque materials?
```

**Response:** 
```
The overview shows the most frequent materials used for these memorials.
```

**Prompt:** 
```
List some 1939-1945 memorials.
```

**Response:** 
```
I found several memorials from that period, including those with specific inscriptions and WGS84 coordinates for location.
```

## Capabilities

### Historical Filtering
Your agent can filter plaques by century, theme, or the person being commemorated.

### Geographic Queries
The AI can count or list plaques based on specific Paris arrondissements.

### WWII Memorial Access
Your agent can pull specific 1939-1945 data including coordinates and full addresses.

### Inventory Summaries
The AI can generate overviews of material types and historical distributions.

### Exact Index Lookup
Your agent can retrieve specific details for a single plaque using its unique index.

## Use Cases

### Mapping WWII History
Use the WWII dataset to get coordinates and addresses for specific memorial sites.

### Thematic Research
Query the theme or person fields to find all plaques dedicated to specific artists or figures.

### District Analysis
Compare the number of historical markers between different arrondissements.

### Material Studies
Check the overview to see which materials, like marble or copper, are most common in Paris memorials.

## Benefits

- Direct access to official Paris open-data without manual searching.
- Automated filtering for complex queries like century ranges or themes.
- Precise coordinate data for WWII memorials to enable mapping.
- Instant totals for plaque density across different city districts.

## How It Works

Connect your client to Vinkius to access the Paris open-data tools immediately.

1. Connect your MCP-compatible client to the Paris Plaques MCP on Vinkius.
2. Ask your agent a question about Paris plaques or WWII memorials.
3. The agent selects the appropriate tool, such as list_plaques or count_plaques.
4. The tool fetches the data directly from the Paris open-data platform.
5. Your agent presents the filtered results or counts to you.

## Frequently Asked Questions

**Where does this data come from?**
The data is pulled directly from the official Paris open-data platform (opendata.paris.fr).

**Can I get GPS coordinates for the memorials?**
Yes, the 1939-1945 memorial dataset includes WGS84 coordinates for each entry.

**Does it include information on the people commemorated?**
Yes, the tools allow you to filter and retrieve the names of the people honored on the plaques.

**How many arrondissements are covered?**
The data covers all 20 arrondissements of Paris.

**What kind of materials are listed?**
The dataset includes approximately 20 different material types, such as copper or marble.

**Do I need an API key?**
No. opendata.paris.fr serves all city datasets anonymously over its Opendatasoft REST API. This MCP defines no credentials and needs nothing configured.

**What is the difference between the two plaque datasets?**
The main dataset (~2,600 rows) is the city-wide inventory across all centuries and themes, with the material, theme and person fields; the 1939-1945 dataset (~1,200 rows) is a dedicated WWII memorials register with its own fields (identifiant, commemorore, adresse_complete, postal code and coordinates).

**Why does siecle accept "18-19"?**
Century values are stored as text, and the source uses range labels for plaques spanning two centuries — "18-19" is a stored value you can filter on exactly like "19".

**Are the addresses complete enough to geocode?**
The main dataset stores the street address and the exact placement (floor, façade) plus WGS84 coordinates; the 1939-1945 dataset adds the postal code (stored under the odd field name "empty") and an xy coordinate object.