# stock-rag-mcp

> stock-rag-mcp — hemanthkumarkp-stock-analysis-rag-langchain-olama-mcp. Use this tool when you need to query and analyze local stock company data using natural language questions. It solves problems related to searching and retrieving specific information from large datasets, providing outputs such as relevant documents and raw data chunks. The tool accepts user queries as input and returns relevant results, making it ideal for use cases where quick and accurate data retrieval is necessary.

Canonical page: https://skillsregistry.net/skills/hemanthkumarkp-stock-analysis-rag-langchain-olama-mcp  
JSON: https://api.skillsregistry.net/v1/skills/hemanthkumarkp-stock-analysis-rag-langchain-olama-mcp

## Description

Enables RAG-based querying of local stock company data using a local LLM and vector database, providing tools to ask questions, search raw chunks, and list documents.

## 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:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t48wtn9ur3)
- **Repository:** <https://github.com/hemanthkumarkp/stock-analysis-rag-langchain-olama-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": "hemanthkumarkp-stock-analysis-rag-langchain-olama-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hemanthkumarkp-stock-analysis-rag-langchain-olama-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hemanthkumarkp-stock-analysis-rag-langchain-olama-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