MCP servers
292 servers that let your AI assistant read data and take actions in the tools you use.
2slides
2slides
2Slides is a modern AI-driven presentation generation agent. It automatically generates professional slide presentations based on user input (raw text or content intention), supporting multiple template types and themes. This is the 1st, easiest, and cheapest PPT, slides, presentation AI generation MCP Server in the world.
claude-mcp-server-two
Surfer12
Claude MCP Server implements the Model Context Protocol, enabling seamless integration of AI tools from multiple providers like OpenAI, Anthropic, and Google. It features extensible tooling for code generation, web interaction, and analysis, with support for Node.js and Python, and easy deployment via Docker.
Mirror of https://github.com/giovannicocco/mcp-server-postman-tool-generation
ACIP
qd-x
(Adaptive Contextual Intelligence Protocol): is a next-generation AI application protocol designed to overcome the limitations of existing protocols like MCP (Model Context Protocol)
ACIP
ZihanJohn
(Adaptive Contextual Intelligence Protocol): is a next-generation AI application protocol designed to overcome the limitations of existing protocols like MCP (Model Context Protocol)
sketch-mcp-server
nailuoGG
Pixel-perfect AI code generation through MCP-driven sketch annotation parsing.
fast-agent-business-workflow
BlakeB254
Business workflow system using fast-agent MCP for document generation, UI management, and business processes
mantine-ui-server
hakxel
MCP server for working with Mantine UI components - provides documentation, generation, and theme utilities
nexus-framework
BizraInfo
Next-Generation Autonomous Tool Orchestration Framework - A multi-agent system for coordinating MCP tools across domains
VonageAssist
micahman33
MCP server to assist with AI code generation using Claude Desktop, Claude Code or any coding tool that supports MCP servers to ensure you're always working from the most current Vonage SDKs and APIs
CodeRAG
JonnoC
MCP Server for Neo4J-based GraphRAG (Graph Retrieval-Augmented Generation) for code projects
CaseCanopy
Denyme24
A comprehensive legal AI system that combines Retrieval Augmented Generation (RAG) for legal precedent search with automated document generation. Features include Supreme Court case law search, AI-powered legal document creation (PIL, RTI, Complaint), and seamless integration with Claude Desktop via Model Context Protocol (MCP).
MnemonicAI-MCP
Actrue
AI MCP Tool for Memory Enhancement Based on the characteristics of memory storage and retrieval in the book "Learning Methods," we have developed an AI MCP (Memory Conceptualization and Processing) tool to assist in memorizing key concepts. Features - Memory Entry Creation: Users can create memory entries by providing concepts that need to be memorized to the AI. - Question Generation: The AI will generate questions that prompt the recall of these concepts. - Database Storage: Both the concepts and the generated questions will be stored in a database. - Scheduled Retrieval: The AI will retrieve questions from the database according to a specific time schedule. - Cognitive Stimulation: By using a questioning approach, the tool stimulates the brain to recall the desired concepts, enhancing the brain's ability to store and retrieve memories.
Smart-Document-Helper-MCP
abhishekudeniyan
SmartDoc MCP is a versatile document analysis tool for summarization, Q&A, and flowchart generation.
RHAIS_UI
solaius
Red Hat AI Studio - Agent Building, Model Evaluation, MCP Servers, Safety Guardrails, Prompt Engineering, Retrieval Augmented Generation, Document Ingestion
AI MCP Tool for Memory Enhancement Based on the characteristics of memory storage and retrieval in the book "Learning Methods," we have developed an AI MCP (Memory Conceptualization and Processing) tool to assist in memorizing key concepts. Features - Memory Entry Creation: Users can create memory entries by providing concepts they wish to remember to the AI. - Question Generation: The AI will generate questions that prompt the recall of these concepts. - Database Storage: Both the concepts and the generated questions will be stored in a database. - Scheduled Retrieval: The AI will retrieve questions from the database according to a specific time schedule. - Cognitive Stimulation: By asking questions, the tool stimulates the brain to recall the concepts, thereby enhancing the brain's ability to store and retrieve memories.
rl-mcp
rlefko
🚀 Modern Model Context Protocol server - Connect AI models to your data with FastAPI + PostgreSQL. Secure, scalable, and ready to power the next generation of AI applications ✨
LLM_MCP_RAG
Dawn0503
A project integrating LLM, MCP, and RAG for efficient knowledge retrieval and generation.
langgraph-codeact-mcp-example
n-sviridenko
A cost-efficient virtual assistant using LangGraph and MCP for code generation.
xhs-mcp
SoftEgLi
xhs-mcp is a server for Xiaohongshu enabling automated account login, content generation, and posting via dialogue.