# Anirudh MCP Server

> Use this tool when you need to integrate Model Context Protocol with advanced LLM interactions, requiring seamless exposure of tailored tools, resources, and prompts. It solves problems related to dynamic context and action handling in AI applications, enabling enhanced functionality. The Anirudh MCP Server takes in git-based inputs and outputs customized resources for advanced AI use cases.

Canonical page: https://skillsregistry.net/skills/kamath-anirudh-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kamath-anirudh-mcp

## Description

Provide a dedicated MCP server focused on delivering capabilities related to Anirudh Kamath. Enable seamless integration with the Model Context Protocol to expose tools, resources, and prompts tailored for enhanced LLM interactions. Facilitate dynamic context and action handling for advanced AI applications.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-08-24

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/kamath/anirudh-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": "kamath-anirudh-mcp"
    }
  }
}
```

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