# financecontext-mcp

> financecontext-mcp — ezrazhang7-financecontext-mcp. Use this tool when you need to securely analyze and reason over real financial data, enabling use cases such as automated expense tracking and budgeting. It solves problems related to financial data access and interpretation, providing inputs such as account information and transactions, and outputs including spending summaries and drafted rules. It is ideal for applications requiring secure and user-approved financial data analysis, with a straightforward interface using the user's own Supabase JWT for authentication.

Canonical page: https://skillsregistry.net/skills/ezrazhang7-financecontext-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ezrazhang7-financecontext-mcp

## Description

A remote MCP server that lets LLM agents reason over a user's real financial data using the user's own Supabase JWT for security, offering tools for reading accounts, transactions, spending summaries, and drafting rules with human approval.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p9ebvvdekr)
- **Repository:** <https://github.com/ezrazhang7/financecontext-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": "ezrazhang7-financecontext-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ezrazhang7-financecontext-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ezrazhang7-financecontext-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