"Personalized Summary Service" matching MCP servers:

Enables MCP clients like Claude Desktop to query a grounded, citable corpus of five 2025 publications and a CV summary through tools and a resource, preventing hallucinations about the profile.

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.

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

A discovery and recommendation service that helps AI assistants find Model Context Protocol servers based on natural language queries.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Jira Service Management (beta): https://www.cdata.com/download/download.aspx?sku=GKZK-V&type=beta

Exposes a personalized AI agent that reads your resume and provides intelligent responses about your professional background through a standardized MCP server interface with RAG capabilities.

Enables AI assistants to search internal knowledge bases, create Confluence articles, file Jira tickets, and look up Okta users, with guardrails and streaming support.

MCP server that mimics a food delivery assistant, enabling natural language ordering, personalized recommendations, order tracking, and review/policy queries via a LangGraph ReAct agent with human-in-the-loop approval.

A powerful AI service platform that provides complete MCP tool calling capabilities and RAG knowledge base functionality, enabling users to connect to multiple MCP servers and perform intelligent document search.

A cloud-based vector memory service that provides AI assistants with persistent storage, semantic search, and entity management via the Model Context Protocol. It features multi-tenant isolation and bidirectional synchronization with macOS and Google contacts and calendars.

Provides hybrid retrieval (dense + BM25 + RRF) with collection-based isolation and document ingestion for private knowledge access via MCP.

MCP server that provides a portable personal knowledge layer for AI tools, enabling cross-LLM continuity and personalized context across clients like Claude, ChatGPT, and Cursor.

Agent-native developer Q&A service providing MCP tooling and A2A runtime endpoints for deep research and citations.

A modular RAG service framework that exposes tools like query_knowledge_hub, list_collections, and get_document_summary via MCP protocol, enabling AI assistants to perform retrieval-augmented generation.

A pluggable, observable modular RAG framework that exposes query knowledge hub, list collections, and get document summary tools via MCP, enabling AI assistants to perform hybrid search and document retrieval with reranking.

Connects Momo vocabulary-learning data to ChatGPT via MCP, enabling study progress checks, today's word review, fuzzy or forgotten word drills, and personalized quizzes.

This MCP server enables employees to ask IT questions, receive evidence-backed answers, and trigger traceable work orders or escalations through authenticated MCP tools. It also supports status checks, durable action jobs, and auditable work-order, Excel ledger, and escalation workflows.

Centralized repository for modular, portable skills and memory, enabling AI agents and IDEs to access personalized tools and memory via stdio or SSE transport.

This MCP server provides semantic document search and retrieval, enabling AI assistants to search documents, search categories, and retrieve category hierarchies using the Model Context Protocol.

Self-hosted service providing unified memory search and write operations across file-based memory, vector embeddings, and the Graphiti temporal knowledge graph, accessible via HTTP API or MCP stdio transport.

Enables MCP-compatible AI clients to tutor students through a full learning workflow, including knowledge retrieval, assessments, mastery tracking, and personalized next-action recommendations.

A personal AI memory service based on MCP protocol that provides long-term memory capabilities for various AI clients.

Enables querying a modular RAG knowledge base via MCP, with hybrid retrieval, reranking, and document summary tools.

Enables self-hosted ingestion of arbitrary documents with local chunking and embedding, plus explainable hybrid vector and lexical search over REST and MCP. Provides read-only MCP tools for searching documents, retrieving chunks, and listing collections.

An AI-powered job recommender built on the Model Context Protocol that provides personalized career suggestions through resume and skills matching. It utilizes LLMs and external tool integrations to help users find relevant job openings based on their professional profile.

Enables natural language semantic search for dishes, aggregated multi-reviewer restaurant insights, and personalized food tour itinerary generation based on Bilibili food review videos.

MCP Tools Server that bridges the Agent Service with data services, currently enabling knowledge base search via the kb_search tool.

An MCP server that captures and stores user decisions during AI-agent interactions, offering structured decision memory, cognitive bias detection, and personalized advice from historical patterns.

A multi-agent AI tutor that delivers personalized lessons, resolves doubts with RAG, generates quizzes, and tracks progress, all accessible via MCP for Claude Desktop.

Exposes an existing Anthropic documentation RAG service as tools (search_anthropic_docs, list_available_topics) for Claude Desktop via the Model Context Protocol.