"Finding the Best Tool for Memory Context Across Agentic Sessions Using Augment Code" matching MCP servers:

MCP server for agentic travel recommendations, exposing tools to retrieve member profiles and personalized travel recommendations with partner-specific rules and policies.

A lightweight multi-provider MCP testing fixture with two providers (eva_air and uk_railway), each exposing 5 tools using in-memory fake data, designed for verifying MCP client tool discovery, tool calls, and multi-provider routing.

An MCP server that orchestrates parallel searches for flights, hotels, and activities to generate travel itineraries. It features persistent state management via LangGraph and SQLite while ensuring the total cost remains within a specified budget.

An MCP server that lets users find nearby shops and POIs around a location and find targets such as gas stations or charging points within a given radius along a driving route, using the Amap (Gaode) Web Service API with built-in API key entry and validation.

Exposes tools for retrieving member profiles and personalized travel recommendations with multi-tenant partner rule enforcement, enabling AI agents to respect business constraints like caps and exclusions.

Enables AI agents to fetch personalized travel recommendations for loyalty program members while enforcing partner-specific business rules such as category exclusions and recommendation caps. Exposes MCP tools over Streamable HTTP, with a REST endpoint, CLI, and frontend for end-to-end demonstration.

Provides tools for vehicle service search, mechanic matching, and booking generation as part of a multi-agent AI system for roadside assistance.

Enables agents to discover and invoke travel recommendations with partner-specific caps and exclusions via MCP JSON-RPC.

Enables querying aviation weather, FAA TFRs, NWS alerts, flight tracking, and Amtrak train status using public APIs. No API keys or private infrastructure required.

Enables an AI agent to fetch member profiles and generate deterministic, partner-rule-compliant travel recommendations on a multi-tenant white-label platform.

A private location archive with an MCP server, letting an agent answer questions about your past stays, trips, cities, and travel stats from data in your own Postgres.

Enables users to automate Zipcar car sharing tasks such as searching for available vehicles, managing reservations, and ending trips using stealth browser automation. It provides a standardized interface for interacting with Zipcar's services through natural language and the Model Context Protocol.

MCP server for UPS package tracking and shipping services using browser automation. Supports tracking packages, getting shipping rates, finding locations, and scheduling pickups.

Integration platform for aviation data sources including weather, NOTAMs, airport information, and flight planning APIs, enabling comprehensive pre-flight preparation and in-flight decision support.

Enables users to translate natural-language vacation or business travel goals into multi-leg flight segments, lodging selections, layover buffers, baggage-fee optimization, and consolidated reservation manifests.

Enables turning natural-language vacation or business travel goals into multi-leg flight segments, lodging choices, layover buffers, baggage fee optimization, and consolidated reservation manifests via MCP.

This MCP server helps people with disabilities plan accessible trips by fusing calendar events, transit accessibility data, venue info, and weather into a context package for AI assistants.

MCP server for SYMONE — search motorcycle transport routes in France. Paris↔Marseille from 299€. No auth required.

Enables users to compare air, rail, maritime, and electric ground freight options using GLEC emissions factors, optimize multi-carrier routes, and compute carbon footprints with offset costs. It also generates verified carbon offset credit allocation certificates.

Enables AI assistants to access real-time Transport for London data, including tube/bus arrivals, line status, journey planning, and disruptions.