# Marqeta DiVA API MCP Server

> Marqeta DiVA API MCP Server — zvika-finally-marqeta-diva-mcp. Use this tool when you need to access aggregated financial data, such as transactions and balances, and perform advanced queries and filtering on the data. The Marqeta DiVA API MCP Server provides programmatic access to this data, solving problems related to financial data retrieval and analysis. It accepts query inputs and returns detailed financial data outputs, making it ideal for use cases that require in-depth financial insights and semantic search capabilities.

Canonical page: https://skillsregistry.net/skills/zvika-finally-marqeta-diva-mcp  
JSON: https://api.skillsregistry.net/v1/skills/zvika-finally-marqeta-diva-mcp

## Description

Provides programmatic access to Marqeta's DiVA API for retrieving aggregated financial data including transactions, settlements, chargebacks, card/user details, and balances. Supports advanced querying, filtering, rate limiting, and optional RAG features for semantic search on transaction data.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/izsk1qosl6)
- **Repository:** <https://github.com/tbadlov/marqeta-diva-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "zvika-finally-marqeta-diva-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zvika-finally-marqeta-diva-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zvika-finally-marqeta-diva-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt