"Personalized Summary Service" matching MCP servers:

Enables AI assistants to manage memories via the mem9 memory service, supporting memory storage, semantic search, retrieval, update, and deletion across multiple platforms.

Exposes a materialized service dependency graph as an MCP toolset for persistent, queryable root-cause analysis via Cypher queries.

A server that summarizes and records conversation key points, supporting adding summaries and viewing history.

Local-first MCP server that watches your coding sessions and injects a compact summary at the start of each new session. 85.6% token reduction, SQLite storage, no cloud. Works with Claude Code, Cursor, Cline, and Windsurf.

Exposes Derek Huynen's professional profile to MCP-aware AI clients, providing tools to retrieve profile, skills, experience, and projects, and resources like profile summary and resume.

Enables MCP-compatible agents to query beliefs, search documents, and explore reasoning chains from expert-service knowledge bases.

A Model Context Protocol implementation that enables AI assistants to interact with markdown documentation files, providing capabilities for document management, metadata handling, search, and documentation health analysis.

An MCP server implementation that helps Claude remember and learn from programming errors by storing, retrieving, and finding similar errors with full context.

Local long-term memory service for AI agents via MCP, using SQLite with tools for memory CRUD, semantic search, time-based facts, and graph capabilities.

A Model Context Protocol server providing persistent memory, knowledge base, and project summary capabilities with automatic project detection and an interactive dashboard.

A productivity coaching assistant designed for ADHD support that provides intelligent task management, goal tracking, and personalized recommendations. It utilizes a persistent memory system to learn user patterns and preferences, helping to reduce decision paralysis through actionable suggestions.

An MCP server that enables users to store and retrieve personalized coding patterns, serving as a persistent memory layer for LLM agents. It allows AI models to generate code and refactor projects according to a user's specific styles, technologies, and established development conventions.

Read-only MCP server that exposes governed operational records with provenance and validity windows so clients can check which evidence is still current before answering. It lets agents reconcile freshness, schedule state, and evidence specificity to determine whether scheduled automations are actually healthy, rather than trusting an expired dashboard summary.

Enables agents to maintain persistent memory through three-tiered architecture: short-term session context with TTL, long-term user profiles and preferences, and searchable episodic event history with sentiment analysis. Provides comprehensive memory management for personalized AI interactions.

Provides personalized Data Engineering learning updates by fetching recent news about DE concepts, patterns, and technologies, while tracking user knowledge to present only new information relevant to their learning journey.

Enables natural language tracking and exploration of books, movies/TV, quotes, podcasts, and personalized recommendations, using Google Cloud Firestore as a private, intelligent entertainment memory and AI curator.

MCP server that enables natural language tracking and retrieval of coding interview practice attempts, mistakes, and insights to provide personalized interview coaching.

Provides semantic memory and persistent storage for Claude, leveraging ChromaDB and sentence transformers for enhanced search and retrieval capabilities.

MCP server for InvGate Service Desk — manage incidents, users, knowledge base, assets and time tracking from any AI assistant.

This server provides a note storage system with a custom URI scheme, allowing users to add and summarize notes, with adjustable summary detail levels.

A Model Context Protocol service that enables AI assistants to search, retrieve, analyze, and export data from Heptabase backups.

Enables AI assistants to access and update personalized context data, creating persistent memory between sessions.

An open-source bitemporal knowledge graph that provides long-term memory for AI agents via a native MCP endpoint, enabling conflict-aware ingest and hybrid retrieval.

A standalone memory service that provides a unified, pull-based knowledge store for AI agents, enabling shared memory and skills across multiple AI clients via MCP.

Enables Claude to add and search personal memories through the Nowledge Mem service. Allows users to store and retrieve contextual information across conversations.

Enables AI assistants to make phone calls via CallZero service, with tools for call management, templates, and memory.

Provides intelligent, persistent memory for AI assistants with semantic search, natural language queries, and OAuth-based team collaboration, enabling context-aware conversations across multiple clients.

Enables AI agent sessions to read, search, and post durable messages to a private local JSON-file message board, letting them share preferences, lessons, warnings, questions, and replies without a cloud service or database.

Provides a local-first, long-term memory service that lets AI agents and humans save, search, and retrieve Markdown notes across sessions with full-text BM25 retrieval and source-attributed evidence snippets.

Exposes a context_folding MCP tool that lets an agent mark conversation history entries (user messages, model replies, tool results) as foldable, keep, or unmarked and replace marked content in outgoing model requests with a head, a concise summary, and an original-entry ID, without altering the client's own full history. Enables listing, paginated reading of originals, layered expansion via previous IDs down to the original, status inspection, and cleanup, with folding applied only when token thresholds and trusted cost-accounting gates are satisfied.