关键词 "Agentic Workflows" 的搜索结果， 共 24 条, 只显示前 480 条
MindBridge is an AI orchestration MCP server that lets any app talk to any LLM — OpenAI, Anthropic, DeepSeek, Ollama, and more — through a single unified API. Route queries, compare models, get second opinions, and build smarter multi-LLM workflows.
Complete sandbox for augmenting LLM inference (local or cloud) with MCP Client-Server. Low friction testbed for MCP Server validation and agentic evaluation.
A suite of Model Context Protocol (MCP) servers designed to enhance AI agent capabilities. Provides tools for media search/understanding (images, video), web information retrieval, PDF generation, and PowerPoint presentation creation, enabling agents to interact with diverse data formats and external resources
MCP helps you build agents and complex workflows on top of LLMs.
A modular external attack surface mapping tool integrating tools for automated reconnaissance and bug bounty workflows.
Agentic Product Searching containing MCP Server / DB / Fast API / OpenAI Agent SDK
awsome kali MCPServers is a set of MCP servers tailored for Kali Linux, designed to empower AI Agents in reverse engineering and security testing. It offers flexible network analysis, target sniffing, traffic analysis, binary understanding, and automation, enhancing AI-driven workflows.
This repository demonstrates a variety of **MCP Poisoning Attacks** affecting real-world AI agent workflows.
Re-Stack MCP server is designed to integrate Stack Overflow into LLM-based coding workflows using the Stack Exchange API
💬 MaxKB is an open-source AI assistant for enterprise. It seamlessly integrates RAG pipelines, supports robust workflows, and provides MCP tool-use capabilities.
OmniMind: An open-source Python library for effortless MCP (Model Context Protocol) integration, AI Agents, AI workflows, and AI Automations. Plug & Play AI Tools for MCP Servers and Clients, powered by Google Gemini.
AI Agents & MCPs & AI Workflow Automation • (280+ MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Developed an MCP-based AI infrastructure enabling real-time tool execution, structured knowledge retrieval, and dynamic agentic interactions for AI clients like Claude and Cursor.
Text2Sim MCP Server is a discrete-event simulation engine that generates and executes flexible SimPy-based models from natural language descriptions. Supports multi-domain workflows (airport, healthcare, manufacturing) with configurable entities, stochastic logic, and real-time metrics.
A server that provides an integration through both direct REST endpoints and Model Context Protocol (MCP) integration to a workflow engine.
Node.js/TypeScript MCP server for Atlassian Jira. Equips AI systems (LLMs) with tools to list/get projects, search/get issues (using JQL/ID), and view dev info (commits, PRs). Connects AI capabilities directly into Jira project management and issue tracking workflows.
This MCP server was developed to improve Cline's agentic workflows by being up-to-date with the public repositories and docs under
Memory Control Protocol (MCP) server for the Agentic Memory (A-MEM) system - a flexible, dynamic memory system for LLM agents
To teach LLM Agents understand workflows with PSR.exe's hmt.
Execute SQL queries and manage databases seamlessly with Timeplus. Leverage powerful tools to interact with your data, Kafka topics, and Iceberg tables efficiently. Enhance your data workflows with a user-friendly interface and robust backend capabilities.
An intelligent code memory system that leverages vector embeddings, structured databases, and knowledge graphs to store, retrieve, and analyze code patterns with semantic search capabilities, quality metrics, and relationship modeling. Designed to enhance programming workflows through contextual recall of best practices, algorithms, and solutions.
A server for managing contextual data in DICOM tools, supporting medical imaging and machine learning workflows.
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