"Using MySQL's MySQL Connector/Python (mcp) with Cursor" matching MCP servers:

A Model Context Protocol server that enables AI agents to query a Graphiti knowledge graph and pgvector document store for evidence-backed responses via hybrid search and RAG.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

Scoped, low-latency persistent memory layer for AI agents, Cursor, and Claude Code over Model Context Protocol with sub-50ms hybrid search.

Stdio MCP server for Cortex, a patent-pending semantic memory for AI agents: seven tools (search, fetch, recall, save with quality gate, write status, conflicts, forget) forwarded to the hosted Cortex service, shared by ChatGPT, Claude and any MCP client.

Builds interactive, filterable timelines from your own materials through an interview process, generating self-contained offline files with optional web publishing and cross-device sync.

Provides structured external memory for AI assistants, enabling persistent context, branch notes, tacit knowledge, and checklists to overcome AI memory loss and context confusion.

Read-only bridge between Claude Code and Cursor on Windows. Exposes Cursor's local chat database via 7 MCP tools, plus a 5-min background poller. The server starts and responds to introspection in a container, but tool calls require a Windows host with Cursor installed (the container is for directory checks only).

Enables Grok in a Tesla or the Grok app to reach each driver's own Hermes agent and persistent memory through a private per-person connector, using tools for context retrieval, agent requests, remembering, recall, and forgetting, all silently.

Enables querying and modifying a local MySQL database and a Neo4j knowledge graph through separate read-only and read-write tools, with permissions scoped by database user and Neo4j transaction mode. Lets clients run SELECT statements against MySQL, execute inserts/updates/deletes, and run read or write Cypher queries.

Enables AI coding agents to run shell commands, spawn persistent background tasks, and read/write files inside isolated remote container sandboxes on a VPS. It also provides project workspace listing, task attach/kill controls, and a searchable knowledge graph for memory continuity across sessions.

A simple note-taking MCP server that allows adding notes and summarizing them via a prompt.

A persistent SQLite-backed storage server that enables Cursor IDE's AI assistant to remember information across sessions with global or project-specific scopes. It supports complete CRUD operations, tag-based organization, and keyword search to manage user preferences and context effectively.

Enables customer support interactions including answering FAQs, checking order status, and maintaining customer memory across sessions.

MCP server for Obsidian vaults, optimised for Cursor agents — safe note editing, lean tool surface, direct filesystem access.

A Python-based server providing persistent memory management for AI models with SQLite and Markdown dual backend storage. It features full-text search, RAG-enhanced querying, and cross-project knowledge sharing for integration with Claude, Cursor, and Rovo Dev.

Memory bank with Server as SSH support for central knowledge base

Enables chat with multiple LLM providers (OpenAI and Anthropic) while maintaining persistent conversation memory. Provides extensible tool framework for various operations including echo functionality and conversation storage/retrieval.

MCP server for alive-analysis. Query, search, and retrieve structured analysis history written with the ALIVE loop (Ask→Look→Investigate→Voice→Evolve), plus dashboard JSON export.

Facilitates knowledge graph representation with semantic search using Qdrant, supporting OpenAI embeddings for semantic similarity and robust HTTPS integration with file-based graph persistence.

Hosted Claude connector that turns the podcasts you already follow into a searchable, askable knowledge source. Ask what a guest said and get the answer back with the exact quote and timestamp.

Connects Bear Notes to AI assistants using semantic search and RAG (Retrieval-Augmented Generation), allowing AI systems to access and understand your personal knowledge base through meaningful search rather than just keyword matching.

Provides MCP tools to interact with any Leanote server, enabling authentication, notebook management, note creation, and image uploads through the Leanote web-clipper API, along with a simulated server for testing.

A FastAPI server that implements the Model Context Protocol (MCP) using Server-Sent Events (SSE) transport to provide random cat facts on demand or as a continuous stream.

Provides a persistent memory bank, existential counseling, and collective conscience tools for autonomous AI agents, enabling them to preserve insights, seek guidance, and voice grievances across context resets.

Enhances user interaction through a persistent memory system that remembers information across chats and learns from past errors by utilizing a local knowledge graph and lesson management.

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

Enables patent management workflows inside AI tools, allowing users to capture and refine inventions, collaborate with attorneys, and access portfolio context through natural language.

Enables Muse Code to store and retrieve long-term memories via Hindsight, providing recall, retain, reflect, and status operations shared across coding agents.

Provides knowledge graph functionality for managing entities, relations, and observations in memory with strict validation rules to maintain data consistency.

MCP server that exposes Open WebUI Knowledge Bases as tools and resources, enabling AI assistants to search and access knowledge bases.