# Paris Grants MCP for association data. AI Agent Connect

> Paris Grants MCP provides direct access to the City of Paris open data platform. You can pull specific grant details, track association funding history, or filter the 107,000+ records from 2013 to 2026 by amount, year, or granting body. It's built for anyone needing to audit or analyze how Paris funds its associative fabric.

## Overview
- **Category:** government-public-data
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_BV1tCsNLrGPwPJrzCjfIf5WMYONIqjEajaZeND2a/ai-agent-connect
- **Tags:** paris, france, grants, subventions, associations, public-spending, keyless

## Description

This MCP gives your AI client direct access to the City of Paris voted association grants. Instead of digging through web portals, you can ask your agent to find specific file numbers, check if a certain organization is receiving city money, or pull a full history of payments for a single beneficiary. The dataset covers everything from 2013 through 2026, including the SIRET numbers, budget years, and the specific direction (like culture or sports) responsible for the funds. You can filter for the largest grants by setting a minimum euro amount or look at how much a specific department has distributed over time. Whether you're looking for a single grant via its file number or want a high-level overview of top beneficiaries and funding types, this MCP turns raw municipal data into actionable intelligence for your agent.

## Tools

### grants_by_direction
This tool counts grants for a specific granting direction like culture or sports. You can also restrict the count to a single budget year.

### grants_overview
This tool provides a high-level summary of the entire voted-grants dataset. It returns top beneficiaries, funding types, and granting bodies.

### grant_lookup
This tool finds a specific grant using its unique file number. It returns the beneficiary, amount, and activity sectors for that exact record.

### grants_by_year
This tool calculates grant totals for specific budget years. It provides the total count for the range and the difference between the first and last year.

### beneficiary_history
This tool pulls the full funding history for a specific association. You can narrow the results down to a single year if needed.

### big_grants
This tool identifies the largest grants by filtering for a minimum euro amount. It's the fastest way to find major city funders.

### count_grants
This tool performs fast counts of grants based on year, direction, type, or amount. Use it to compare funding volumes across different categories.

### list_grants
This tool retrieves detailed rows of grant data including SIRET, budget year, and activity sectors. It supports pagination with limit and offset.

## Prompt Examples

**Prompt:** 
```
How many grants did the sport direction file in 2021?
```

**Response:** 
```
The sport direction (DJS) filed a specific number of grants in 2021. I can use count_grants to get that exact total for you.
```

**Prompt:** 
```
Which associations received the largest grants?
```

**Response:** 
```
I will use big_grants to find associations that received amounts above your threshold. For example, setting a 1,000,000 euro minimum returns 501 rows.
```

**Prompt:** 
```
Does the LESTUDIO TALENTS association receive city grants?
```

**Response:** 
```
I'll check the beneficiary_history for LESTUDIO TALENTS to see all recorded grants and their amounts.
```

## Capabilities

### Grant Auditing
Your agent uses this to verify specific amounts and file numbers for individual grants.

### Trend Analysis
Your agent uses this to compare grant volumes across different budget years.

### Beneficiary Tracking
Your agent uses this to compile a complete funding profile for any given association.

### Large Grant Discovery
Your agent uses this to isolate high-value subventions from the general dataset.

### Departmental Reporting
Your agent uses this to summarize how much money specific city directions have distributed.

## Use Cases

### Investigative Reporting
An investigator asks the agent to find all grants over 500,000 euros for a specific year to spot unusual spending.

### Association Monitoring
A researcher checks the beneficiary_history of an organization to see if their funding is increasing or decreasing.

### Budget Comparison
A policy analyst compares the total grants issued by the culture direction versus the sports direction.

### Data Verification
A user provides a specific file number to get the exact euro amount and type of a single grant.

## Benefits

- Direct access to Paris open data without manual web scraping.
- Instant filtering of 107,000 records by amount, year, or type.
- Automated calculation of year-over-year funding deltas.
- Granular visibility into association SIRET and activity sectors.

## How It Works

Connect your client to Vinkius and start querying Paris grant data immediately.

1. Connect your MCP-compatible client to Vinkius.
2. Ask your agent a question about Paris association grants.
3. The agent selects the appropriate tool like big_grants or beneficiary_history.
4. The MCP executes the request against the Paris open data source.
5. Your agent receives the raw data and presents the answer to you.

## Frequently Asked Questions

**What years of data are included in this MCP?**
The dataset includes voted subventions from 2013 through 2026.

**Can I find a specific grant if I have the file number?**
Yes, use the grant_lookup tool with the numero_de_dossier to get specific details on a single grant.

**How do I find the largest grants in Paris?**
You can use the big_grants tool and specify a minimum amount to filter for the highest values.

**Does this MCP provide association SIRET numbers?**
Yes, the grant records include the SIRET numbers for the beneficiary associations.

**Is this data updated in real time?**
The data is pulled from the Paris open data platform, reflecting the records available there.

**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 do the direction codes mean?**
Each grant is issued by a city department identified by a code: DDCT (culture, the largest with ~25,000 files), DAC, DJS (sport, ~12,000), DASES, DAE, DASCO, DFPE, DPSP... grants_overview lists the top directions by count so you can discover the codes.

**What grant types exist?**
Five stored values: Fonctionnement (operations), Projet, Investissement, Non précisée and Indéterminée. The nature filter is an exact match on the stored text, accents included.

**Does a 0 amount mean nothing was paid?**
montant_vote is the voted amount and the source data contains rows where it is 0. Use a min_amount filter (big_grants, or the same filter on list_grants) to keep only positive grants.
