# agentic-rag-annual-reports

> agentic-rag-annual-reports — rudra7777-agentic-rag-annual-reports. Use this tool when you need to analyze Indian IT-sector annual reports from top companies like TCS, Infosys, and Wipro, to retrieve specific data or answer natural language questions with citations. It solves problems related to financial data analysis, trend identification, and report comparison, and accepts natural language queries as input, providing relevant data and citations as output. Ideal for use cases requiring in-depth analysis of Indian IT-sector performance from FY2020-2024.

Canonical page: https://skillsregistry.net/skills/rudra7777-agentic-rag-annual-reports  
JSON: https://api.skillsregistry.net/v1/skills/rudra7777-agentic-rag-annual-reports

## Description

MCP server for retrieving and analyzing Indian IT-sector annual reports (TCS, Infosys, Wipro, HCLTech, Tech Mahindra, LTIMindtree) from FY2020-2024. Enables natural language questions with citations and refusal for out-of-corpus queries.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qz588gbusu)
- **Repository:** <https://github.com/Rudra7777/agentic-rag-annual-reports>

## 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": "rudra7777-agentic-rag-annual-reports"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rudra7777-agentic-rag-annual-reports` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rudra7777-agentic-rag-annual-reports/pull`

---
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