关键词 "seamless textures" 的搜索结果， 共 24 条, 只显示前 480 条
A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools
MCP Connect is a versatile command-line interface (CLI) client designed to connect to various Model Context Protocol (MCP) servers using stdio transport. It provides seamless integration with OpenAI m
A lightweight utility that securely loads API keys for Cursor MCP servers from your home directory, preventing accidental exposure of secrets in repositories. Keep your credentials safe while maintain
A comprehensive MCP server that enables seamless interaction with Excalidraw diagrams and drawings. This server provides LLMs (Large Language Models) with the ability to create, modify, query, and man
A Cursor MCP (Model Context Protocol) server that enables seamless interaction with Neo4j databases directly from the Cursor IDE.
Airtable integration for AI-powered applications via Anthropic's Model Context Protocol (MCP). Connect your AI tools directly to Airtable for seamless data access and management.
A model-agnostic Message Control Protocol (MCP) server that enables seamless integration with various Large Language Models (LLMs) like GPT, DeepSeek, Claude, and more.
Chain of Draft Server is a powerful AI-driven tool that helps developers make better decisions through systematic, iterative refinement of thoughts and designs. It integrates seamlessly with popular A
Leverage SettleMint's Model Context Protocol server to seamlessly interact with enterprise blockchain infrastructure. Build, deploy, and manage smart contracts through AI-powered assistants, streamlin
Swytchcode accelerates API integrations, allowing developers to seamlessly integrate any API using Postman collections or OpenAPI specifications. With Swytchcode, developers can obtain production-read
Connect Claude to Linear project management systems. Retrieve, create, and manage issues and projects seamlessly.
npx -y convex@latest mcp aConvex’s MCP server lets you introspect tables, call functions, and read/write data seamlessly. Agents can generate one-off queries safely—thanks to Convex’s sandboxed querie
High-performance FastAPI server implementing Model Context Protocol (MCP) for seamless integration with Large Language Models (LLMs). Built with modern stack: FastAPI, Elasticsearch, Redis, Prometheus
Bridge package enabling seamless integration between Model Context Protocol (MCP) servers and AI SDK tools. Supports multiple server types, real-time communication, and TypeScript.
Model Context Protocol (MCP) servers for Drupal development. Includes tools for querying Drupal.org modules and interacting with Drush commands. Seamlessly integrates with Cline and other MCP-compatib
Model Context Protocol (MCP) servers for Drupal development. Includes tools for querying Drupal.org module. Seamlessly integrates with Cline and other MCP-compatible clients to enhance Drupal developm
This an Model Context Protocol (MCP) server that integrates Notion into your AI workflows. This server enables seamless access to Notion through MCP, allowing AI agents to interact with pages, databas
Java SDK for the Model Context Protocol (MCP), providing seamless integration between Java and Spring applications and MCP-compliant AI models and tools.
MCP server implementation for Keycloak user management. Enables AI-powered administration of Keycloak users and realms through the Model Context Protocol (MCP). Seamlessly integrates with Claude Deskt
MCP server to interact with LogSeq via its Local HTTP API - enabling AI assistants like Claude to seamlessly read, write, and manage your LogSeq graph.
This is a TypeScript-based MCP server that provides database interaction capabilities through ArangoDB. It implements core database operations and allows seamless integration with ArangoDB through MCP
Notion MCP Integration is a lightweight Model Context Protocol (MCP) server that seamlessly integrates with Notion's API to manage a minimalist personal to-do list through Claude. This project provide
A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
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.
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