"Creating a Gantt Chart from Tasks and Dependencies" matching MCP servers:

Enables AI assistants to manage Notion tasks, projects, and courses through MCP, allowing creation, retrieval, and filtering of tasks.

Enables task management through natural language commands in English or Spanish. Supports creating, listing, updating, completing, and deleting tasks with local SQLite storage.

Enables AI assistants to extract and query Obsidian Tasks from markdown files, supporting task metadata and advanced filtering via Obsidian Tasks query syntax.

Enables AI assistants to run the real Obsidian Tasks query language against a Markdown vault via MCP, supporting filters, relative dates, dependencies, grouping, sorting, and query explanations without requiring Obsidian to be running.

Enables AI assistants to manage Obsidian tasks with full CRUD operations, querying, and date-based filtering via MCP.

Enables AI-assisted task management by extracting and querying Obsidian Tasks from markdown files, with support for status mapping, date filters, and Obsidian Tasks query syntax.

Searches Reddit for answers to questions and saves Q&A sessions to Notion.

A TypeScript-based MCP server that enables users to query financial news, stock data, and index information while managing text notes with creation and summarization capabilities.

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 synchronization and management of FoundryVTT journal entries within a Notion Story Bible, including media export and conflict resolution tools. It provides a Model Context Protocol interface for LLMs to preview, apply, and monitor data mirroring between tabletop RPG platforms and digital databases.

Enables personal knowledge management through Claude Desktop, allowing users to capture thoughts, connect ideas, and reflect on thinking changes via natural conversation.

Enables AI agents to store and retrieve project context, bugs, decisions, and session logs by reading and appending markdown files in a local Obsidian vault, without requiring any cloud services.

Enables MCP clients to search a Zotero library, read items, take notes, organize collections, and perform semantic search over PDFs.

Enables local MCP clients to list, read, write, and search notes in an Obsidian vault via an HTTP server running inside Obsidian.

Provides AI clients with per-project todo management and persistent context notes via MCP, enabling task tracking and resume summaries.

Enables AI agents and users to manage workspace files, monitor system metrics, take persistent notes, and retrieve weather data via MCP tools and resources.

Enables AI assistants to persistently add, read, and summarize sticky notes through MCP-compliant tools, resources, and prompts.

Enables AI clients to read Markdown notes from a single explicitly granted local folder, read-only, with strict containment against access outside that folder.

Cited Q&A and drift detection over your own markdown notes: answers cite exact passages, cited passages are hashed at citation time, and a scheduled verify flags when a source changed under a conclusion already drawn from it. Local-first, zero runtime dependencies (node:sqlite); tools: chamber_ask, chamber_verify, chamber_corpus.

MCP server that integrates with LM Studio to provide a search_notes tool, allowing the chat model to retrieve and answer from a local Obsidian vault.