What dependencies are required?
Node.js, `@modelcontextprotocol/sdk`, `express`, and `dotenv`. API keys for DeepSeek and a weather service are also needed.
@Hiohk
Basic information
一个基于MCP协议开发的LLM(大模型)服务端项目
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool 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.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
A scalable service framework based on the Model Context Protocol (MCP), providing standardized tool calling interfaces and AI integration. It includes a base service architecture, a weather service implementation example, and an intelligent dialogue processing pipeline.
Install dependencies (npm install @modelcontextprotocol/sdk express dotenv), configure environment variables (API keys for DeepSeek and a weather service), and start the main service with npm run start:prod. Custom MCP services can be created using the provided service template and integrated into the client.
Node.js, `@modelcontextprotocol/sdk`, `express`, and `dotenv`. API keys for DeepSeek and a weather service are also needed.
Follow the provided template: create a JavaScript file using `Server` from the MCP SDK, implement `ListToolsRequestSchema` and `CallToolRequestSchema` handlers, then integrate it into the client with `StdioClientTransport`.
Stdio transport is used for communication between the MCP Client and MCP Servers.
The default maximum context length is 5 dialogue turns.
The framework includes a request retry mechanism with default intervals of 500 ms, 1000 ms, and 1500 ms (3 attempts). Error codes follow the standard MCP error schema.
Modelglass turns "which model should I use?" into a lookup instead of a guess. Seven tools give your agent live pricing across image, language, video, and audio models. Sourced and versioned, not scraped once and forgott

Verified distributed compute for humans, applications, and agents. Submit Blender, Octane, and video workloads, route them across qualified GPUs, track asynchronous execution, download finished artifacts, and verify FARP

One case file per task — shared by every session, agent and person that touches it. Self-hosted MCP server and live board. MIT.

The tools your AI needs to make your games. Turn prompts into production-ready game assets — animated characters with their weapons attached, seamless textures, terrain, VFX, HUDs — and playable game kits Unity, Godot, U
Query your team's drift, vulnerability, and migration data from any AI assistant. Vibgrate MCP connects Cursor, Claude, ChatGPT, Windsurf, or VS Code to Vibgrate Cloud: 51 tools for DriftScores, CVEs and EOL runtimes, up
Comments