"Bun" matching MCP servers:

Local-first markdown vault with a built-in MCP server (streamable HTTP). 16 tools and 2 resources for Claude Code / Desktop / Cursor: read/write/search plus context_for_query, find_orphans, weekly_digest, compare_notes, semantic_outline. Per-folder agent permissions, LanceDB vectors, local Xenova ONNX embedder swappable to Ollama. Single Bun binary. AGPL.

Local task-and-memory layer for coding agents (Claude Code, Codex, opencode, Kimi): a task queue with dependencies and atomic claims, an oplog of decisions with hybrid search, and memory that survives context compaction. Bun + SQLite, no network calls of its own, no API key. MIT.

Provides AI agents with persistent memory and knowledge management through a comprehensive knowledge graph platform. Enables storing, searching, and managing entities, relationships, and observations with advanced features like trending analysis and smart ranking.

A lightweight MCP server that provides persistent key-value storage for AI agents using SQLite and Bun. It enables agents to store, retrieve, and manage memories with optional JSON metadata for long-term context retention.

Enables AI assistants to access Fathom meeting recordings, summaries, transcripts, teams, and webhooks through the Model Context Protocol.

MCP server for Google NotebookLM enabling notebook, source, and audio overview management with hybrid metadata storage.

AI-powered reading triage MCP. 26 tools with a 24h burn timer — search, triage, burn, vault, and analyze your saved articles. Works with Claude, Cursor, Windsurf. Stdio + HTTPS transports.

Enables AI assistants to build and query temporally-aware knowledge graphs from conversations and data. Supports adding episodes, searching entities and facts, and maintaining persistent memory across interactions.

A MCP server connecting to a managed index on LlamaCloud. This is a TypeScript-based MCP server that implements a connection to a managed index on LlamaCloud.

Agent-first knowledge graph MCP server that provides 25 tools for managing a knowledge graph with nodes and edges, plus a human-readable dashboard for LLMs and AI agents.