# mcp-resource-server

> mcp-resource-server — curtismu7-mcp-resource-server. Use this tool when you need to serve realistic data across multiple verticals and investment use cases, or require a backend for testing and development of MCP tools with OAuth-protected endpoints. It solves problems of data simulation and investment tool testing by providing bundled SQLite databases and optional proxying to a banking API. The tool accepts HTTP or WebSocket requests and returns realistic vertical data, making it ideal for development and testing scenarios.

Canonical page: https://skillsregistry.net/skills/curtismu7-mcp-resource-server  
JSON: https://api.skillsregistry.net/v1/skills/curtismu7-mcp-resource-server

## Description

Serves read-mostly MCP tools across ten mock verticals and investment use cases, each backed by bundled SQLite databases, with optional proxying of investment tools to a user-supplied banking API. It enables clients to query realistic vertical data through OAuth-protected MCP endpoints over HTTP or WebSocket.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ii1x9xcka2)
- **Repository:** <https://github.com/curtismu7/mcp-resource-server>

## 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": "curtismu7-mcp-resource-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/curtismu7-mcp-resource-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/curtismu7-mcp-resource-server/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