# mcp-doc-chat

> Use this tool when you need to interact with AI models through conversational chat or retrieve specific documents, and want to leverage command-based prompts and integrations with other MCP tools. It solves problems related to information retrieval, AI model interaction, and workflow automation. The tool takes in user input via chat prompts and outputs relevant documents or AI-generated responses through the Anthropic API.

Canonical page: https://skillsregistry.net/skills/amulya-acharya-mcp-doc-chat  
JSON: https://api.skillsregistry.net/v1/skills/amulya-acharya-mcp-doc-chat

## Description

Enables interactive chat with AI models and document retrieval via the Anthropic API, supporting command-based prompts and MCP tool integrations.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-24

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mey9sepga2)
- **Repository:** <https://github.com/amulya-acharya/mcp-doc-chat>

## 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": "amulya-acharya-mcp-doc-chat"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/amulya-acharya-mcp-doc-chat` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/amulya-acharya-mcp-doc-chat/pull`

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