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MCP Server

@Ginga1402

代码仓库

基本信息

分类

AI 与智能体

许可证

MIT

传输方式

stdio

作者

Ginga1402

关于 MCP Server

Demo of implementation of MCP using Langchain MCP Adapters and Ollama

#mcp#generative-ai#langchain-python#ollama#mcp-server

MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "Model-Context-Protocol-MCP-Demo-with-langchain-MCP-ADAPTERS-Ollama": {
      "command": "python",
      "args": [
        "mathserver.py"
      ]
    }
  }
}

MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is 🧠 Model Context Protocol (MCP)?

🧠 Model Context Protocol (MCP) is an open‑source standard and translator layer that allows large language models (LLMs) to interface with external tools, databases, APIs, and services in a standardized, extensible way.

How to use 🧠 Model Context Protocol (MCP)?

Start MCP servers (e.g., python mathserver.py, python weatherserver.py), then run a client such as client.py (single‑server) or multiclient.py (multi‑server). The client discovers available tools and handles communication between the LLM and the servers.

Key features of 🧠 Model Context Protocol (MCP)

  • Simplified tool integration for LLMs
  • Extended LLM capabilities via external services
  • Scalable, maintainable architecture
  • Standardized communication layer
  • Pre‑built integrations for plug‑and‑play use
  • Flexibility to switch LLM providers and vendors

Use cases of 🧠 Model Context Protocol (MCP)

  • Build an AI assistant that queries databases or APIs
  • Create automated workflows combining email, search, and custom scripts
  • Enable an LLM to perform math operations and fetch live weather data
  • Switch between different LLM providers without rewriting tool integrations

常见问题

1

How does MCP compare to traditional API integrations?

MCP standardizes how LLMs talk to tools, similar to how REST standardized web services, making integration cleaner, easier, and future‑proof across multiple providers.

2

What runtime or dependencies are required?

The demo uses Python, LangChain, Ollama, and the langchain‑mcp‑adapters library. The protocol itself is language‑agnostic, but the provided examples are Python‑based.

3

Where does my data live when using MCP?

MCP emphasizes best practices for securing your data within your own infrastructure; data flows through your configured servers and services.

4

Are there any known limitations?

The README does not explicitly list limitations. As a new protocol, the ecosystem of pre‑built integrations is growing but may not yet cover all services.

5

How does transport and authentication work?

MCP uses a two‑way transport layer (the MCP Protocol) for secure, structured communication between client and server. Specific authentication methods are not detailed in the README.

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