关键词 "OpenAI Library" 的搜索结果, 共 24 条, 只显示前 480 条
This Streamlit application provides a user interface for connecting to MCP (Model Context Protocol) servers and interacting with them using different LLM providers (OpenAI, Anthropic, Google...).
This is a collection of cli tools to expose MCP tools via NATS microservices. It can be used either standalone (exposing existing MCP Servers via NATS) or as library in Go to expose functions as tools
This is a minimal demonstration project for the Model Context Protocol (MCP) — a simple standard for exchanging model context between clients and servers. It is designed to be easy to understand, ligh
MCP Server wrapper for TTS engines (Kokoro TTS and OpenAI TTS)
A secure Python code execution service designed to integrate with LLMs like GPT and Claude, providing a self-hosted alternative to OpenAI's Code Interpreter. Now with MCP server.
Access all your OpenAI Compatible endpoints with the same base URL and API key.
A standalone agent runner that executes tasks using MCP (Model Context Protocol) tools via Anthropic Claude, AWS BedRock and OpenAI APIs. It enables AI agents to run autonomously in cloud environments
openai agents chat demo. integration custom llm and mcp server and function tool
Use MCP servers with OpenAI Agents
Embeddable Model Context Protocol (MCP) solution for AI services. Seamlessly integrate MCP servers with OpenAI Agents, LangChain, and Autogen frameworks through a unified interface. Simplifies configu
Implementation of OpenAI MCP Server
🤖 Build powerful AI agents with TypeScript. Agenite makes it easy to create, compose, and control AI agents with first-class support for tools, streaming, and multi-agent architectures. Switch seamles
MCP server for OpenAI protocol
An mcp-openai-server for connecting via Claude or similar
An MCP client/server library for Rust
This project showcases how to use the MCP protocol with Azure OpenAI. It provides a simple example to interact with OpenAI's API seamlessly via an MCP server and client.
A reusable Dockerized Python server template implementing the Model Context Protocol (MCP) with Server-Sent Events (SSE), built using the FastMCP library for easy integration with Large Language Model
An MCP (Model Context Protocol) server that acts as a wrapper around the `dpdispatcher` library. It allows language models or other MCP clients to submit and manage computational jobs on local machine
MCP Server Markup Language (MCPML) - A Python framework for building MCP Servers with CLI and OpenAI Agent support.
MCP (Model Context Protocol) server wrapping Crawl4AI library as functions using Python
POC : MCP server with openAI agents SDK
Client to demonstrate the test of an MCP server with OpenAI LLM
Test environment for MCP servers
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