Poly MCP Client provides an adaptable Python library to connect and manage MCP servers, converting tool definitions for use with major LLM vendors like OpenAI, Anthropic, and Gemini, facilitating seamless integration.
Added on:
Created by:
Apr 26 2025
Poly MCP Client provides an adaptable Python library to connect and manage MCP servers, converting tool definitions for use with major LLM vendors like OpenAI, Anthropic, and Gemini, facilitating seamless integration.
Added on:
Created by:
Apr 26 2025
yo-ban
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What is Poly MCP Client?
Poly MCP Client is a Python-based tool that manages connections to MCP (Model Context Protocol) servers, enabling users to retrieve, convert, and execute tool definitions across different large language model vendors such as OpenAI, Anthropic, and Gemini. It supports vendor-agnostic tool handling, dynamic conversion to vendor formats, prefix management for resources, and flexible server configurations via JSON. Designed for developers and enterprises, it simplifies multisource LLM integrations, enables efficient tool management, and supports complex workflows in AI applications.
Who will use Poly MCP Client?
- AI developers
- Research institutions
- enterprises involving LLM integrations
- Software engineers managing multi-vendor AI tools
How to use the Poly MCP Client?
- Step 1: Install the Poly MCP Client library via GitHub.
- Step 2: Create a JSON configuration file defining MCP servers.
- Step 3: Import and initialize the client in your Python environment.
- Step 4: Call the initialization method with your configuration.
- Step 5: Fetch available tools from MCP servers, specifying the vendor.
- Step 6: Send user prompts and handle the tool execution flow, including responses and tool results.
- Step 7: Use the integrated tools to perform tasks like file listing, data retrieval, or other automation.
- Step 8: Gracefully shut down the client after operations are complete.
FAQs of Poly MCP Client
Developer
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