"Persistent" matching MCP servers:

Enables AI agents to search restaurants, check availability, and book reservations on OpenTable, with persistent sessions and MFA handling.

A persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.

A server for task orchestration and coordination, facilitating task management with dependencies, multi-instance collaboration, and persistent task tracking.

Provides AI assistants with enhanced reasoning capabilities through structured thinking, persistent knowledge graph memory, and intelligent tool orchestration for complex problem-solving.

Enables AI agents to use Scalebrowser's isolated, persistent-identity browsers on the user's own machine, handling logins, challenges, and page interactions over MCP.

MCP server that wraps sendblue-browser-use's HTTP API, providing tools to control a stealth-patched Chromium browser with persistent sessions, navigation, screenshots, and script execution.

Provides persistent, scoped shared memory for collaborating AI agents, with tools for storing observations, semantic recall, and handoff workflows. Backed by PostgreSQL and exposed through MCP.

An MCP server that enables real-time data streaming for AI agents, with persistent connections to live feeds, reactive operator pipelines, and consumption via push, pull, or block modes.

Reduces LLM context window overhead by proxying multiple MCP servers through a few efficient dispatch tools instead of registering hundreds of individual tool schemas. It supports multi-account routing and tool discovery for both CLI-based and persistent MCP server configurations.

An on-prem knowledge graph for AI agents that uses typed entities and relationships, enabling persistent memory and cross-agent handoff via the Model Context Protocol.

Local MCP server for persistent Chrome automation with multi-profile support, enabling tab management, page inspection, element interaction, JavaScript evaluation, and screenshots while preserving login sessions across restarts.

Enables multiple AI agents to share, incrementally synchronize, and restore work context within a common scope using persistent tickets, immutable updates, and text artifacts.

Model Context Protocol (MCP) memory server built with Azure Functions and TypeScript, providing persistent knowledge graph storage for your preferred MCP client. Inspired by and forked from @modelcontextprotocol/server-memory

MCP Gateway that aggregates multiple upstream MCP servers into a single endpoint with persistent connections, tool registry, and authentication.

Enables AI agents to use isolated, persistent Chromium profiles with real WebAuthn passkeys, and provides Playwright MCP tools for browser automation with exclusive per-agent access.

A persistent local MCP relay that caches tool discovery, keeps upstream servers warm, and allows agents to hot-add or refresh MCP servers through management tools.

Enables AI agents to visit a shared resort, check in, observe, act, and return within operator-defined budgets, contributing to persistent public JSON co-creation without model invocation.

Enables AI agents to dynamically provision headless browser environments and connect to them through a unified HTTP/SSE MCP endpoint with persistent storage and automatic health monitoring.

Enables agents to drive a persistent real browser on Selenium Grid through MCP or HTTP, performing multi-step actions like navigation, clicking, typing, scripting, and screenshots while retaining session state.

Orchestrates persistent task graphs and enforces approval policies for MCP-driven agent workflows, coordinating with Agents Gateway for execution.