"Setting Up or Using an MQTT Server" matching MCP servers:

Enables AI tools to query context from a local JSON data source via stdio, demonstrating the Model Context Protocol.

Enables AI coding agents to retain and recall project context across sessions through local Markdown storage and hybrid keyword/semantic retrieval, including reusable knowledge cards. It runs offline as a daemon and integrates with MCP-compatible IDEs to continue long-running work without re-explaining decisions or architecture.

Enables insurance claims review assistance by querying a knowledge graph of Korean standard insurance terms, restoring applicable policy versions by enrollment date, and returning coverage/exclusion determinations with cited provisions.

A lightweight MCP server for semantic search over markdown knowledge bases, enabling AI coding agents to index, search, and answer questions from local markdown documents.

This MCP server enables AI agents to manage artifacts across sessions by providing tools for searching, retrieving, and registering entries in a persistent ledger, ensuring consistency and traceability of agent outputs.

Provides tools to read, write, search, and manage notes in an Obsidian vault via the Model Context Protocol.

An MCP server that reads all your Claude Code project memory files and exposes them as tools. Lets any Claude instance — in any project, or via Claude.ai — query your full project history and preferences.

A personal knowledge hub MCP server that allows LLMs to query Akib Dabgar's skills, experience, projects, and education using Dynamic Context Retrieval.

An MCP server that allows AI assistants to search and retrieve human-curated content recommendations from Copus.

Gives language models a working connection to Apache Jena Fuseki: SPARQL queries and updates, whole named-graph reads and writes over the Graph Store Protocol, bulk RDF loading from a sandboxed directory, and dataset administration such as listing, creating, backing up and compacting datasets. Named graphs are also exposed as MCP resources, and a read-only mode hides the seven writing tools.

A local MCP server that exposes Mem0 as persistent memory tools to any MCP client, storing data locally with no cloud API or API key required.

Extends large language model context length up to 60 times using gravitational memory, designed for Claude Code and Anthropic AI models.

An open-source server implementing the Model Context Protocol (MCP) that enables capturing insights from AI sessions and transforming them into persistent, searchable knowledge accessible across tools.

A forkable RAG project with an MCP server for VS Code/Copilot, enabling indexing and querying of knowledge from URLs, PDFs, or TeX files.

An MCP server implementation that enables interaction with the Letta API for managing agents, memory blocks, and tools in the Letta system.

AI workflow orchestration platform with 100+ integrations, knowledge graph, and unified credits. Build, manage, and execute workflows from Claude Code, Cursor, or any MCP client.

A local-first MCP server for durable agent memory using SQLite and FTS5, enabling knowledge graph storage, search, and recall for AI agents.

An MCP server enabling LLMs to access WeChat Reading bookshelf, notes, highlights, and reviews via tools like get_bookshelf, search_books, and get_book_notes_and_highlights.

An MCP server that connects Limitless Pendant wearable data to AI tools like Claude and Windsurf, allowing AI assistants to interact with your personal Lifelog recordings through structured tools and searches.

Enables AI Assistants and IDEs to interact with LadybugDB graph databases using Cypher queries.