Integrates the MeetSync calendar negotiation API to enable AI agents to autonomously manage participants, find mutual availability, and handle meeting bookings. It exposes 19 tools for end-to-end scheduling workflows including participant preferences, proposals, and confirmations.
Provides AI agents with persistent long-term memory capabilities using semantic search. Enables storing, retrieving, and searching memories through three core tools integrated with Mem0 and vector storage.
Enables AI assistants to store and retrieve memories with semantic search capabilities using vector embeddings. Provides persistent memory storage with SQLite backend for context retention across conversations.
With Memori's MCP server, your agent can retrieve relevant memories before answering and store durable facts after responding, keeping context across sessions without any SDK integration. With MCP, it can: Store stable user facts and preferences after answering using the advanced_augmentation tool Recall relevant memories before answering using the recall tool Maintain context across sessions us
Provides intelligent memory management capabilities using Qdrant vector database for semantic search and storage. Supports global, learned, and agent-specific memory types with markdown processing and duplicate detection.
A Model Context Protocol (MCP) server that provides persistent memory capabilities using OpenAI's vector stores, allowing AI assistants to save and search through memories across conversations.
Retrieves historical prediction data, community forecasts, and user comments from Metaculus forecasting platform with strict date filtering to prevent future information leakage for backtesting applications.
A Model Context Protocol server that enables Claude and compatible AI assistants to perform multi-dimensional searches (web, documents, scholarly articles, images, videos, podcasts) and parse webpage content using the Metaso AI search engine.
Exposes 7 read-only MCP tools for Magalu Cloud products (block storage, virtual machines, Kubernetes, etc.) using authenticated mgc CLI commands, enabling natural language queries about cloud resources.
A FastMCP server providing session-based memory and dynamic authentication using LangChain and Google Gemini. It enables persistent conversation history tracking through a session-ID system over HTTP transport.
An optimized Model Context Protocol server for document OCR processing using Mistral AI with support for high-performance batch operations and async connection pooling. It enables efficient extraction of text and tables from local files or URLs into structured markdown and HTML formats while minimizing token costs.
Intercepts Claude conversations via MITM proxy and stores them in Mem0, enabling Claude to search and recall past conversations, learn user preferences, and maintain context across sessions.
A tutorial implementation MCP server that enables analysis of CSV and Parquet files. Allows users to summarize data and query file information through natural language interactions.
A minimal local MCP server that wraps any Claude Messages API-compatible upstream into a unified ask_model tool. It enables MCP clients to interact with these models through a standard tool interface using stdio transport.
Demonstrates custom MCP servers for math and weather operations, enabling multi-agent orchestration using LangChain, Groq, and MCP adapters for both local and remote tool integration.
A bridge allowing AI/LLMs to seamlessly interact with external APIs for weather, finance, and news services through a standardized MCP-compliant interface.
N8N MCP
A Model Context Protocol server that allows AI assistants to save structured information to n8n via webhooks for storage, indexing, and retrieval.
Exposes Google Gemini's Nano Banana image generation models to Claude, enabling text-to-image generation, image editing, and multi-image composition through natural language prompts.
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