"A manager for organizing and handling tools" matching MCP servers:

Zero-knowledge document vault backed by Azure Blob Storage with built-in MCP server. Client-side AES-256-GCM encryption, five tools (list, get, search, create, update), and OAuth-gated access for Claude.

MCP Memory Agent Server - A VS Code chatmode and instruction manager with library integration

Enables agents to query and reason over a unified graph of a person's real relationships, resolved across email, WhatsApp, calendar, and calls, with evidence-backed facts and deterministic briefs.

Provides tools to slice documentation by headers, append git-verified session entries, and retrieve the current phase to manage context for AI coding agents.

Enables agents to search people, retrieve evidence-backed facts and timelines, prepare briefs, rank reconnect opportunities, and propose outreach while keeping writes human-approved.

A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.

An MCP server for organizing research papers, books, and digital sources by tracking reading progress and taking structured notes. It enables AI assistants to manage literature databases and link sources to specific concepts within a knowledge base.

Enables coding agents to turn human-verified development failures into reusable bug knowledge and executable acceptance standards, then generate graded verification plans and record structured evidence for human review.

Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.

Free Industry 4.0 / IIoT tools, no API key or account: lint MQTT Sparkplug B topics, check a Unified Namespace (UNS) for naming and hierarchy problems, and run an industrial AI-readiness diagnostic for manufacturing digital transformation and smart-factory projects. Works in Claude Code, Codex and any MCP client.

Provides persistent personal context storage across AI conversations, allowing AI assistants to remember user preferences, project conventions, and other personal information between sessions.

Provides customer lookup, transaction history, knowledge-base search, and ticket management tools to any MCP client.

A local-first persistent memory server for AI coding agents, enabling project context to be shared across different MCP clients. It stores curated memories, task states, decisions, and handoffs as plain files under ~/.agent-memory.

A Model Context Protocol server that provides persistent storage, categorization, and retrieval of bookmarks through AI clients like Claude. It allows users to manage web links using custom categories and includes options for local JSON storage or AWS S3 synchronization.

This MCP server provides tools to manage, score, compress, and prune AI agent conversation context, helping keep agents focused and reduce token costs. It is a free, local, pure Python solution for any MCP client.

Enables searching, reading, and appending change notes in an Obsidian vault through local MCP tools.

Turns a codebase into a persistent knowledge graph so AI coding agents can answer structural questions about functions, call chains, routes, and cross-service links through graph queries instead of reading files one by one.

A collection of MCP servers for Apple macOS apps (Mail, Contacts, Notes, Memory, Messages, Calendar, Reminders) enabling AI assistants to read, search, create, and update data via JXA, SQLite, and EventKit.

Enables Claude Code sessions to automatically capture and retrieve architectural decisions, code changes, bug fixes, and configuration context across sessions using local SQLite storage and hybrid semantic/keyword search.

Git-driven MCP server that manages and provides prompt templates with Handlebars support, enabling teams to collaborate on and version-control reusable, dynamic prompts across AI editors like Cursor and Claude Desktop.

An intelligent context management layer for the Brain Knowledge Management System, implementing semantic routing and human-in-the-loop workflows.

Enables Zotero 10 library management via MCP, allowing search, metadata retrieval, annotation and collection management, and optional write operations (notes, tags, metadata, items) through a local Streamable HTTP endpoint.

Persists Claude Code sessions to Notion as team memory, enabling queryable recall of decisions, work state, and project architecture.

Provides context-aware skill selection for AI agents, reducing token usage by 85-98% and improving accuracy through semantic retrieval, session memory, and feedback learning.

Extends VS Code Copilot with MCP tools for persistent semantic memory, code indexing and RAG search, sandboxed Python/shell execution, web fetch/search, dynamic tool management via a web UI, and structured multi-step reasoning.

Provides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.

Enables natural language interaction with Obsidian vaults through an MCP server, providing hybrid search, file management, and AI-powered analysis.

Provides MSP support tools (ticket search, draft response, KB search, update) with a deterministic security guardrail that refuses to draft responses for security tickets based on content scanning, even if mislabeled.

Enables semantic search across Apple Mail, Messages, Calendar, and Contacts on macOS using natural language queries. All processing happens locally with privacy-first vector indexing for fast similarity search.

Provides a scalable knowledge graph implementation for Model Context Protocol using Elasticsearch, enabling AI models to store and query information with advanced search capabilities, memory-like behavior, and multi-zone architecture.