Is this an official AWS product?
No, this is an unofficial MCP server. It is inspired by and references the official AWS Documentation MCP Server (awslabs/mcp).
@unirt
Basic information
This MCP server provides tools to access AWS Amplify Gen 2 documentation and search for content. (not official)
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"unirt.amplify-doc-mcp-server": {
"command": "uvx",
"args": [
"unirt.amplify-doc-mcp-server@latest"
],
"env": {
"FASTMCP_LOG_LEVEL": "ERROR"
},
"disabled": false,
"autoApprove": []
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
AWS Amplify Gen 2 Documentation MCP Server is an unofficial Model Context Protocol (MCP) server that provides tools to fetch and search AWS Amplify Gen 2 documentation pages. It is designed for developers who want to query official Amplify Gen 2 docs through an AI assistant such as Amazon Q or Claude.
Install uv and Python 3.13+, then add the configuration block shown in the README to your MCP config file (e.g., .amazonq/mcp.json for Amazon Q). Once configured, you can ask natural‑language questions such as "How can I create custom resources in Amplify Gen 2?" and the server will fetch or search the documentation to answer.
read_amplify_documentation and search_amplify_documentationNo, this is an unofficial MCP server. It is inspired by and references the official AWS Documentation MCP Server (awslabs/mcp).
You need `uv` (from Astral) and Python 3.13 or newer. The server runs via `uvx`.
It exposes two tools: `read_amplify_documentation` (fetches a page and converts it to markdown) and `search_amplify_documentation` (searches documentation via Algolia).
Create (if it does not exist) a file named `.amazonq/mcp.json` in the directory where `q chat` runs and add the JSON configuration shown in the README.
No, all data is fetched on demand from the AWS Amplify Gen 2 documentation site and search API. No persistent storage is used.
Project context your AI can query through MCP — with source evidence.
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 162 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

Islamic source data for assistants: Quran, hadith, tafsir, duas, prayer times and qibla. Answers come from real sources with citations instead of recalled text, so verses and hadith are not hallucinated. 36,000+ hadiths

Local AI agent for your Mac with a built-in MCP server: 18 tools for your notes and PDFs, a temporal memory graph, an on-device LLM and a neural voice. No account, no telemetry. No data centers required.

Search published GPU deployment, rack integration and structured cabling resources; read canonical documents and Leviathan Systems company service scope. Anonymous, read-only Streamable HTTP MCP. No credentials required.
Comments