We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/RocwoDev/McpServer'
If you have feedback or need assistance with the MCP directory API, please join our Discord server
TECHNICAL_OVERVIEW.md•1.62 KiB
# Technical Overview
## Project
This project is a Model Context Protocol (MCP) server that exposes web search and webpage fetch tools for MCP clients (e.g., LM Studio). The server uses `FastMCP` and runs with the `stdio` transport.
## Documentation Philosophy
To keep the agent's context clean, this overview is intentionally kept short. It serves as a central hub. Detailed information is modularized into specialized markdown files.
**Always prefer reading the specific linked file related to your task rather than parsing the whole documentation.**
## Modules & Workflows
- **Architecture**: Components and data flow: [docs/technical/architecture.md](./technical/architecture.md)
## Project Structure
```text
Project/
├── docs/ # Technical documentation
├── src/ # MCP server source code
│ ├── mcp_server.py # FastMCP server and tool registrations
│ ├── main.py # Entry point (stdio transport)
│ └── utils/
│ ├── search.py # DDGS (Dux Distributed Global Search) helpers
│ └── fetch_webpage.py # Webpage fetch to markdown (crawl4ai)
├── start_mcp_server.cmd # Convenience script to launch the server
├── AGENTS.md # Agent operating guidelines
└── pyproject.toml # Dependencies and project metadata
```
## Technology Stack
- **Language**: Python 3.13+
- **MCP Server**: `FastMCP` (`mcp` package)
- **Search**: `ddgs` (DDGS | Dux Distributed Global Search, multi-source)
- **Web crawling**: `crawl4ai` (async)
- **Async runtime**: `asyncio`