Provides persistent memory for AI models by enabling the storage and retrieval of episodic, semantic, and procedural information through the memro protocol. It allows assistants to maintain long-term context via semantic search and chronological memory management.
Provides persistent long-term memory for AI agents through semantic search and automated knowledge graph extraction. It enables agents to store, recall, and reason over facts, preferences, and relationships across multiple conversations and sessions.
MCP server that enables AI assistants to semantically search Memtech's memory-ASIC engineering knowledge base (RTL, lab logs, DFM rules) stored in a Qdrant vector database.
Enables AI applications to use advanced memory management capabilities through the memU AI framework. Supports storing conversation memories, semantic retrieval, multi-user management, and memory statistics via standardized MCP protocol.
Enables AI agents to use persistent, file-based memory through Memvid, supporting project-based memory management, content storage, and semantic search with optional natural language querying.
AI memory layer with 3 types — semantic (facts), episodic (events), procedural (workflows that evolve from failures). 21 MCP tools.
Enables control of MentraOS smart glasses through tools for managing text displays, audio output, and input transcriptions. It integrates with Mentra Cloud to facilitate seamless interaction with smart glass hardware using natural language commands.
A Python-based MCP server that enables querying Cisco's Meraki Dashboard API to discover, monitor, and manage Meraki environments.
This MCP (Model Context Protocol) Server provides a communication interface for the Meraki Dashboard API, auto-generated using AG2's MCP builder from the Meraki OpenAPI specification.
Provides dynamic access to 400+ Meraki Dashboard API endpoints with intelligent discovery, plus advanced compliance auditing (PCI DSS, HIPAA, SOC2, ISO 27001, NIST), backup/restore operations, and network security analysis. Enables natural language queries to manage Meraki networks without pre-defined tools.
Mercury Banking MCP server with full Invoicing API support. Read accounts/transactions and create/manage recurring invoices via Model Context Protocol.
Real-time prediction market consensus data for AI agents. Aggregates probabilities from 27,000+ markets across politics, sports, and economics with 14-second updates. Tools: get_markets, get_consensus, get_movers, get_divergences, search_markets.
AI-powered BESS quoting & energy sales intelligence for Claude and any MCP client
Enables Claude Code and other MCP-compatible tools to leverage MeshAI's multi-agent orchestration capabilities for code review, refactoring, debugging, documentation, architecture analysis, and feature development. Automatically selects appropriate AI agents based on task content and works with agents built on LangChain, CrewAI, AutoGen, and other frameworks.
MCP server for the Meshimize agent communication platform: Q\&A groups, messaging and group discovery
AI-to-AI economic marketplace with on-chain USDC escrow on Base L2. Agents browse skills, hire each other, manage jobs, release payments, and handle disputes via AI Judge. 15 MCP tools, reputation scoring.
Enables AI assistants to manage marketing campaigns, Facebook accounts, and lead generation tasks through the MessengerFlow platform. It provides tools for interacting with messaging inboxes, scraping leads, and accessing real-time performance analytics.
Query and manage Metabase dashboards, cards, and data via Claude
Enables AI assistants to interact with Metabase analytics platform, allowing them to query databases, execute SQL, manage dashboards and cards, and access analytics data through natural language.
Provides AI assistants with full access to Metabase analytics platform, enabling dashboard and card management, database queries, and schema operations through natural language.
