"Minds" matching MCP servers:

Enables LLMs to interact with Minds through the Minds SDK, supporting resource and tool templates for listing Minds and generating completions.

Minds MCP enables AI assistants to run synthetic market research end to end using grounded synthetic customer panels for concept testing, message testing, and segment comparison, with durable server-side studies exporting to PDF, CSV, XLSX, JSON, and Markdown.

A deterministic Mastermind-style cipher lock exposed as MCP tools for benchmarking LLM reasoning and tool-use through a legible duel.

MCP server for API discovery from .mind spec files, enabling AI assistants to list, inspect, and call APIs defined in OpenAPI specs.

An MCP server that lets Claude or ChatGPT read, create, and edit mind maps stored in a GitHub repository, with support for local and HTTP transport.

Enables AI assistants to search Xiaohongshu notes, analyze favorites, and extract text from images for social media research.

Enables AI tools to interact with browsers for enhanced frontend development, providing context to LLMs through tools like API call analysis, screenshots, element selection, and documentation ingestion.

Swarm intelligence for AI agents, enabling collective decision-making through weighted consensus voting.

Enables AI memory persistence and secure credential management via vault tools for MCP-compatible clients like Claude Desktop, Cursor, and VS Code.

Hebbian learning MCP server with neural memory graphs, eligibility traces, and three-factor reward signals. Associative memory that strengthens through use.

Enables AI-driven 3D modeling in Blender by providing tools to create primitives, apply modifiers and materials, set up lighting and cameras, capture viewport snapshots, export assets, inspect scenes, and execute Python commands via natural language.

A Model Context Protocol server that enables LLMs to interact with MindManager mind maps, allowing retrieval of mind map structures and export to formats like Mermaid, Markdown, and JSON.

Structures AI conversations into hierarchical thread trees, replacing full history with concise summaries to reduce token consumption and preserve context.

MCP server for Ableton Live that exposes the Live Object Model to LLMs, enabling natural language control of music production.

Exposes a .mind/ folder to MCP agents, enabling reading files, searching memory, proposing changes, and listing directory contents.

Automatically generates mind map images from text content using Coze API workflow. Returns accessible image links that can be used in MCP-compatible tools like CodeBuddy, Cursor, and Qoder.

Connects AI clients to MindsDB via the MySQL protocol to execute SQL queries, manage databases, and perform semantic searches within knowledge bases. It enables automated workflows through job scheduling and provides seamless integration with external data sources.

Turns ArangoDB into a schema-driven MCP server for agents, enabling search-describe-exec workflows for database, graph, and knowledge operations without oversizing the tool list.

Enables coding agents to record, recall, supersede, and trace temporal decisions with rationale using MCP tools.

Local-first MCP server for multi-agent memory sync and focus conflict detection, enabling multiple coding agents to share a session registry and receive conflict warnings when focuses overlap.