"Slow thinking, distributed thinking, and reasoning abilities research" matching MCP servers:

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

Bridges MCP clients to the Windows ChatGPT Classic desktop app, letting them drive Think-mode deep research queries through UI automation with topic-based session reuse, optional research-prompt templates, and a tool to diagnose the app window and Think toggle state.

Enables local Windows control of the MDI JADE 9 GUI and reproducible powder XRD analysis through 32 tools, including spectrum processing, peak fitting, lattice refinement, and crystallite size/strain calculations. Supports independent NumPy/SciPy/pymatgen calculations and structured result export without replacing the installed JADE software.

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.

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.

Enables AI agents to drive Google NotebookLM notebooks as a deep-research workspace: ingesting local PDFs and YouTube videos, cross-checking sources for contradictions, identifying knowledge gaps, generating audio overviews, and exporting Markdown dossiers with BibTeX and APA bibliographies. It operates over the Model Context Protocol inside Google Antigravity IDE, with browser-session authentication handled automatically.

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

Enables AI assistants to discover and invoke generated CRUD actions as MCP tools and read-only data as MCP resources, so they can interact with REST APIs through a standard protocol.

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

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.

Enables an AI assistant to browse folders, search and read notes, create and edit them, and move notes between folders within an account. Runs locally through a supported MCP client and supports basic Markdown while refusing edits that would lose existing formatting.

Combines structured sequential thinking with batch operation execution, enabling step-by-step reasoning with revision/branching capabilities and chained operations with variable piping between steps.

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.

Enables AI agents to create documents from templates, send them for legally valid Argentine electronic or digital signature, track status, download signed PDFs with audit certificates, and cryptographically verify signatures.

Model Context Protocol server for the GlobKurier API. Enables AI assistants (Claude, Cursor, Cline and others) to track shipments, search shipping products and generate purchase links.

MCP server for managing ad campaigns across Google Ads, Meta, and more. Enables deploying campaigns, checking performance, and managing budgets from terminal or AI assistants.

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 production-ready foundation template for building Model Context Protocol (MCP) servers with FastAPI, featuring modular tools, comprehensive testing, and OpenShift deployment configurations. Includes automated transformation scripts to create custom domain-specific MCP servers.

Enables simulation and analysis of M/M/1 and M/M/c queuing systems using SimPy, with tools for parameter validation, theoretical metric calculation, simulation execution, and comparison of separate vs pooled queue strategies.

A server that allows Claude to control audio playback on your computer, supporting MP3, WAV, and OGG files with features like play, list, and stop commands.

Enables an MCP-capable AI client to drive a locally installed, licensed Autodesk Inventor through its COM API for local modeling tasks. It supports creating and updating a rectangular plate and a parametric quickchanger concept assembly, opening and inspecting parts and assemblies, and returning viewport previews.

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

A multi-tool AI assistant system that uses Model Context Protocol to connect language models with various tools, including math calculations and weather information.

Enables Phase 1 upload-to-Teamcenter-draft workflow with file validation, extraction, similarity search, BQ drafting, document generation, approval, and save, including a deterministic mock mode for demos.

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.

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.

An ADHD-friendly productivity system that uses AI to provide frictionless capture of tasks and ideas through natural language input, with automatic context detection and intelligent routing to appropriate project trackers. Eliminates cognitive overhead by working with ADHD thinking patterns rather than against them.

Enables AI agents to claim, heartbeat, submit, split, park, and resume atomic work-queue tasks, with fencing tokens and receipts, while storing and versioning records and content-addressed files through MCP.

Enables AI agents to capture and inspect a window, send background clicks, keys, text and scrolls, and write, validate, run and monitor YAML automation scripts (or watchers) so fast reactive work is handled without the agent's thinking latency.