# Paper MCP Server

> Use this tool when you need to manage trading accounts and access market data through conversational requests. It enables AI assistants to interact with a trading platform API using natural language, solving problems such as simplifying account management and trade execution. The tool accepts natural language inputs and returns relevant market data and account information, making it ideal for users seeking hands-free trading platform interactions.

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

## Description

Enables AI assistants like Claude to interact with Paper's trading platform API using natural language, allowing users to manage accounts, portfolios, trades, and access market data through conversational requests.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s29oe7n810)
- **Repository:** <https://github.com/paperinvest/mcp-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": "paperinvest-mcp-server"
    }
  }
}
```

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