# ta-lib-mcp

> Use this tool when you need to compute and discover technical indicators for financial analysis, such as moving averages and trends. It provides a read-only Python MCP server for TA-Lib indicator computation, solving problems related to data analysis and visualization. The tool accepts financial data as input and outputs computed indicator values, making it ideal for use cases involving automated trading and market research.

Canonical page: https://skillsregistry.net/skills/yalcin-ta-lib-mcp  
JSON: https://api.skillsregistry.net/v1/skills/yalcin-ta-lib-mcp

## Description

Read-only Python MCP server for TA-Lib indicator discovery and computation.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/druxso54nl)
- **Repository:** <https://github.com/yalcin/ta-lib-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": "yalcin-ta-lib-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yalcin-ta-lib-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yalcin-ta-lib-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