# finanal-mcp

> finanal-mcp — sekharz-finanal. Use this tool when you need to analyze stock market trends and understand the underlying narratives driving price movements. The finanal-mcp server combines financial data, such as stock prices and fundamentals, with macro and micro economic context to provide a comprehensive view of market dynamics. It accepts financial and textual inputs and outputs probabilistic scenarios and explanatory narratives, making it ideal for AI agents tasked with predicting stock performance and identifying investment opportunities.

Canonical page: https://skillsregistry.net/skills/sekharz-finanal  
JSON: https://api.skillsregistry.net/v1/skills/sekharz-finanal

## Description

A minimal, token-efficient MCP server that combines stock prices and fundamentals with the macro and micro narrative around them — so an AI agent can reason about why a stock moved, what people are thinking about it, and what probable scenarios lie ahead.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jwmea7cn7u)
- **Repository:** <https://github.com/Sekharz/finanal>

## 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": "sekharz-finanal"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sekharz-finanal` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sekharz-finanal/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