关键词 "google docs" 的搜索结果, 共 24 条, 只显示前 480 条
LangChain for Java:利用 LLM 的强大功能增强你的 Java 应用程序 LangChain4j 的目标是简化 LLM 与 Java 应用程序的集成。 方法如下: 统一的 API: LLM 提供商(例如 OpenAI 或 Google Vertex AI)和嵌入(向量)存储(例如 Pinecone 或 Milvus)使用专有 API。LangChain4j 提供统一
集成Google基础设施的AI编程工具,支持一键构建前端、后端和移动应用,覆盖从开发到发布的全流程。 结合了类似Lovable、Cursor、Replit的功能,内置数据监控能力,适合快速部署和迭代。X用户称其为“Lovable+Cursor+Replit”的综合体,受到开发者关注。
集成20+领先AI模型(包括OpenAI、Anthropic、Google等),支持深度研究和AI代理功能。用户可通过简单界面调用多种模型,适合复杂任务和跨模型比较。
PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译,支持 Google/DeepL/Ollama/OpenAI 等服务,提供 CLI/GUI/MCP/Docker/Zotero
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Dockerized MCP Server to allow your AI agent to access any API with existing api docs
QuickMCP empowers you to effortlessly build and deploy Model Context Protocol (MCP) servers. By leveraging your OpenAPI or Google Discovery specifications, QuickMCP automates server generation, provid
site and docs for flux mcp server
Quick example of building a speaker agent with Google ADK and ElevenLabs' MCP server
An MCP (Model Context Protocol) server integrated with google gmail API.
DocSpace MCP Server
google-sheet-mcp-server
google-docs-mcp-server
Mirror of
MCP server for analyzing & generating docs for React code locally
MCP Server Implementation for Rust documentation from Docs.rs
With this MCP, you can debug your application by querying any issue to an LLM using the latest documentation available on the web. We currently support LangChain, LlamaIndex, and OpenAI docs, but you
A google drive mcp servers based on Python
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...).
> Gemini Rust Suite 🦀: A powerful, modular Rust toolkit for interacting with Google Gemini. Features a feature-rich CLI, persistent semantic memory (LanceDB), and extensible tool integration via the M
test chatbot using mastra's mcp docs server
A mcp server for leads generator using google maps through playright
This is a sample for showing how to do FIrebase Docs as an MCP server (including indexing documents)
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