"Techniques to Improve Agent Programming" matching MCP servers:

MCP server that converts PDF, video, web, and audio inputs into structured Markdown notes with support for checkpointing, batch processing, and Obsidian integration.

Turn Obsidian notes into agent-ready context, preview-only plans, and safe repo handoffs.

Enables forwarding Douyin or Bilibili video shares to Kimi for AI analysis and automatically writing the resulting Chinese notes into an Obsidian vault.

Enables writing text content to Markdown files with folder organization and overwrite control, and listing recent Markdown files.

Automatically maintains a personal journal on behalf of an AI agent, storing text, photos, and voice notes as plain markdown files locally. Enables agents to add entries, recall memories, and reflect on patterns without user intervention.

Enables automatic collection and AI analysis of Slack messages to create organized Notion pages, supporting custom analysis directions like meeting minutes, issue extraction, and topic classification.

Converts XMind mind map files into structured Markdown documents, preserving hierarchy and optionally including metadata.

A local MCP server that provides AI agents with persistent sticky-note memory, storing Markdown notes on disk and offering tools for creating, reading, updating, deleting, searching, and listing notes across sessions.

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

Enables people and their AI agents to share a kanban board whose tasks, hand-offs, reviews, notes and alerts live as markdown files in a private GitHub repo, with per-person access control. Works from Claude, ChatGPT, Claude Code, Codex or any MCP-speaking client, and can draw the board inside chats.

A self-hosted MCP server that collects links and articles from web and mobile, allowing AI agents like Claude or ChatGPT to read and analyze them as a reading list.

Enables any MCP-capable agent to maintain a shared .apm Markdown source of truth for project goals, tasks, decisions, handoffs, and health insights. It lets multiple agents and CLI/dashboard tools coordinate using the same file-based read/write logic without a database.

Local MCP servers for the Agent-Obsidian workflow, providing vault file I/O, todo management, and arXiv paper fetching with zero-dependency single-file Node.js scripts.

Enables AI agents to keep and query long-term memory of past conversations, with hybrid keyword-plus-semantic search, session, day, week, month and year summaries, saved notes, and a running set of current facts about the user. Exposes this over MCP streamable HTTP through five tools so any client can retrieve context that would otherwise be lost between sessions.

Lets coding agents like Codex, Cursor, and Claude Code share and resume each other's chats, and attach to a common task with saved notes that can be searched later. This keeps task state and decisions in sync no matter which agent you switch to.

A machine-local, agent-writable knowledge base MCP server that lets coding agents autonomously record and retrieve hard-won operational facts, incidents, and corrections as markdown pages in a git repo, with provenance, talk pages, and search.

MCP server for the driaforall/mem-agent model that enables interaction with an obsidian-like memory system through apps like Claude Desktop or LM Studio.

Enables AI agents to work with a local Anki collection through MCP while Anki stays open in the background, listing and creating decks, listing note types, searching notes, and previewing or creating Basic and Cloze notes in batches. Deletion of cards or decks requires explicit confirmation in Anki and completes only after a recovery backup finishes.

Enables AI assistants to search PatchXNote records, inspect AI-generated results, create Markdown drafts, and send user-approved messages to webhooks while keeping server data read-only.

Enables AI coding agents to store and retrieve durable project decisions, conventions, environment notes, and bug fixes in Notion, with optional Obsidian Vault dual-write.