"A router for MCP (Model Context Protocol) tools" matching MCP servers:

Enables AI clients to read and write to a user-owned markdown bucket via S3-compatible storage, providing a persistent shared context layer across different AI tools.

This MCP server lets any compatible AI assistant read, extend and connect the matters in a person's life — plans, trips, people and places — from a repository that belongs to the user, so a new assistant picks up where another left off. It keeps the user's words verbatim, records every change, and stores the repository as a plain file on the user's own computer.

An open-source memory layer that provides persistent project context and architectural history for AI development tools across multiple platforms and sessions. It enables AI assistants to maintain a shared understanding of codebases while integrating directly with services like Notion for documentation management.

An MCP server for saving, managing, and enhancing context with pre-processing strategies like clarification, analysis, and search optimization.

Routes Claude MCP tool calls to multiple Obsidian vaults (local or remote) via a single server, enabling unified read/write/search operations across all vaults.

Enables Claude to pull curated context from self-hosted Markdown files via a remote MCP connector, with an append-only journal for agent notes manually promoted by the owner.

A local MCP server that enables AI applications like Claude Desktop to securely access and work with Obsidian vaults, providing capabilities for reading notes, executing templates, and performing semantic searches.

MCP server for personal knowledge management providing AI-powered tools for semantic search, audio transcription, image generation, and PPT creation.

Enables LLMs to access a user's personal writing context—voice, style, opinions, expertise, projects, and communication patterns—via curated markdown files, helping the LLM match the user's voice when generating written content.

Stores personal context as markdown files and exposes them via MCP for AI assistants to retrieve user preferences, skills, and background.

Parses an Obsidian vault and exposes structured context (notes, blocks, tasks, headings) through MCP tools, enabling AI clients to query and reason over local markdown notes.

Enables MCP-compatible clients to query an Obsidian vault through a local, read-only broker, returning compact, cited context packs with source paths and heading anchors while enforcing a fail-closed sensitivity boundary.

A simple notes MCP server that enables creating, listing, and summarizing text notes via resources, tools, and prompts.

A native Nextcloud app that exposes the instance as an MCP server so Claude and other MCP clients can read, search, and (with admin-granted permissions) edit files, notes, calendars, Deck cards, and Talk conversations. It runs inside Nextcloud with OAuth or app-password sign-in, applying each user's own Nextcloud permissions and admin-controlled per-operation grants.

Lets AI agents retrieve source-linked passages from a local folder of Markdown notes or an Obsidian vault, optionally following the explicit links between notes, and can also fetch passages from pinned public GitHub files you configure. It returns bounded evidence packets with original text, file paths and hashes so agents can answer from your material rather than generating content themselves.

Empowers AI assistants with real-world capabilities including note management, Gmail integration, Google Calendar and Tasks management, and Git repository operations through the Model Context Protocol.

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

Enables AI clients to locally store and share tasks, work activities, long-term memory, knowledge, and people information, while allowing users to review saved content and generate briefings or reports through a web UI.

A read-only toolkit for searching and analyzing Markdown note directories and Obsidian vaults through AI clients. It enables metadata extraction, full-text search, and natural language querying of note content, tags, and backlinks.

Self-hosted, single-owner MCP relay that lets an agent client queue requests for an authorized ChatGPT worker to look up context from permitted sources, apply bounded edits to a specific Page, or save a selected transcript as a new Page. Requests, results, and status are stored in the owner's own Cloudflare account, with the worker woken by signed events and results retrieved by polling.

Enables ChatGPT to search, read, and organize your Google Keep notes through read-only MCP tools, including full note retrieval, label listing, recent-note browsing, and task extraction. Notes refresh automatically from your connected account without any local database or write access.

Enables a local-first Codex plugin to maintain durable OKF memory, manage scoped project and personal context, and perform reviewed selective encrypted exports and recovery.

Enables multiple users to share an AI-maintained markdown knowledge base with per-person privacy enforced by the server, so any MCP-capable assistant can recall and save private notes, tasks, and decisions alongside reviewed team and role-gated silos. Access is scoped by identity-provider roles, keeping each person's silo readable only by them while shared knowledge stays available to the whole team.

Enables agents to import selected conversation archives, search and edit an Obsidian-compatible Markdown memory wiki, and read/write shared context across AI clients through MCP.

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

Persistent memory for AI agents enabling saving, searching, and managing knowledge across sessions with local markdown files.

Enables AI agents to read, search, create, and append Markdown notes from a local vault (e.g., Obsidian) via MCP, allowing natural-language note management through compatible clients.

This MCP server provides an AI-powered productivity suite that connects Todo, Idea, Journal, and Timer apps with AI

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

A Model Context Protocol server that enables AI agents to interact with a local Logseq instance, allowing operations like creating pages, managing blocks, and searching across a knowledge graph.

Give your AI persistent, structured memory and let humans see it too. It stores project knowledge as Markdown files in a hierarchical tree, accessible via MCP tools and a built-in Web UI.

Private tooling to stage ChatGPT conversations into reviewable Homebase markdown and Notion drafts with redaction and classification.

Enables comprehensive management of Obsidian vaults with full CRUD operations, advanced search, link/tag extraction, backlinks discovery, frontmatter editing, and template-based note creation through natural language.

Enables MCP clients to query project-scoped Graphify graphs, search, read, and write Obsidian Markdown notes, and recall or store persistent ICM memories over authenticated private HTTPS. It serializes access per project and supports slim and standard Docker deployments without embeddings or extra memory services.

A live MCP server that connects AI assistants to a running Obsidian instance, enabling full app automation including reading notes, clicking UI elements, managing plugins, and executing JavaScript.

Enables managing personal information with dynamic topic-based organization (tasks, meetings, contacts, etc.), supporting optional OTP authentication and AES-256 encryption for sensitive data with automatic backups.

A MongoDB Atlas-based Notion-style knowledge base management MCP server that supports user workspaces, project management, page CRUD with tree structure, and text search.

A simple server implementing the Model Context Protocol (MCP) that exposes personal tools like note-taking for compatible MCP clients or agents.

Provides calculator, datetime, and note-taking tools for LLMs like Claude via the Model Context Protocol.

Enables users to organise messy symptom notes into a clearer, portable appointment-preparation record through privacy-conscious tools for ChatGPT and Codex. It processes submitted text in memory without intentionally persisting it, supporting symptom diary capture and appointment-prep workflows.