# angelone-mcp

> angelone-mcp — pyalgobot-angelone-mcp. Use this tool when you need to integrate Angel One's SmartAPI into your workflow, providing a standardized interface for model context management. It solves problems related to model deployment and version control by wrapping the SmartAPI with an MCP server, enabling seamless interactions with git repositories. Ideal for use cases requiring automated model updates and collaborations, it accepts git inputs and outputs standardized model context data.

Canonical page: https://skillsregistry.net/skills/pyalgobot-angelone-mcp  
JSON: https://api.skillsregistry.net/v1/skills/pyalgobot-angelone-mcp

## Description

An MCP (Model Context Protocol) server that wraps Angel One's SmartAPI

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/pyalgobot/angelone-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": "pyalgobot-angelone-mcp"
    }
  }
}
```

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