"Research papers and studies on artificial intelligence" matching MCP servers:

The server functions as an MCP server to interact with Notion for retrieving and creating survey data, integrating with the Claude Desktop Client for conducting and reviewing surveys.

An MCP server that provides AI applications with a toolset for an Artificial Virtual Assistant (AVA) integrated with the Gmail API. It enables users to automate email management and personal tasks through secure Google OAuth authentication.

Enables AI-powered competitor monitoring and daily schedule optimization by integrating news data with calendar and task management tools like Google Calendar, Jira, and Asana. It allows users to automate intelligence gathering and generate structured daily plans based on strategic priorities.

MCP server for AI-powered marketing intelligence and automation for the RU/CIS market, offering tools for media planning, benchmarks, competitor analysis, and funnel conversion.

Enables AI assistants to request information and clarification from humans via Slack, supporting multiple roles and transport modes.

Enables comprehensive Google Meet and Calendar management through Google Calendar API v3 and Google Meet API v2, supporting calendar event creation with Meet links, space management, transcription, recording, attendance tracking, and meeting moderation controls.

Enables AI assistants to access and execute automated decision services from IBM Decision Intelligence or IBM Automation Decision Services. It exposes deployed decision operations as tools for platforms like Claude Desktop and IBM watsonx Orchestrate.

MCP server for step-by-step mathematical reasoning and planning, enabling AI agents to execute calculations and perform GUI actions like opening PowerPoint.

A Model Context Protocol server leveraging Google's Gemini Flash 2 to analyze datasets, generate research papers, and deliver results via email.

Connects Claude Desktop to LinkedIn's data layer for AI-powered networking, enabling profile research, content creation and scheduling, engagement automation, analytics tracking, and messaging through natural language.

Automates Ansys Fluent simulation workflows, enabling environment checks, case execution, UDF management, and result export through MCP tools.

A simple Model Context Protocol (MCP) server that provides date and time functionality in any timezone, along with user profiles and personalized greeting resources.

Enables synchronization and management of FoundryVTT journal entries within a Notion Story Bible, including media export and conflict resolution tools. It provides a Model Context Protocol interface for LLMs to preview, apply, and monitor data mirroring between tabletop RPG platforms and digital databases.

A Python-based Model Context Protocol server that allows AI assistants like Claude to access and query your movie and TV show collection via Radarr and Sonarr APIs.

Enables deployment and hosting of custom MCP servers on Databricks Apps platform. Provides a template and deployment methods for creating scalable MCP servers with Databricks authentication.

Enables deploying MCP servers on Cloudflare Workers with OAuth authentication and SSE transport. Allows connecting Claude Desktop and other MCP clients to remotely hosted tools via HTTP.

MCP server that integrates with Pica to enable seamless interaction with 100+ third-party services through a standardized interface, supporting direct execution and code generation.

lets you interact with your meeting data (to list, ask, summarize, extract - virtually anything about your meeting) through Claude’s desktop client across Zoom, Google Meet and MS Teams via tl;dv.

Enables AI assistants to interact directly with Roblox Studio to explore project hierarchies, edit scripts, and perform bulk object manipulations through over 37 specialized tools. This enhanced fork features long polling for near-instant responses and improved support for script editing and attribute management.

An MCP server that enables interaction with Telegram messaging platform, allowing users to retrieve unread messages, fetch entity information, and send messages through natural language interfaces.