"Lit" matching MCP servers:

A lightweight, local memory server for AI coding assistants that stores durable knowledge (decisions, facts, gotchas) in a tree structure, enabling persistent context across sessions with efficient retrieval via summaries and FTS5 search.

Memory Consolidation for AI agents across vendors, owners, and time. Provides credibility-scored web search, persistent memory, browser fetch, and a shared Commons pool under a stable ltx_ key that survives session resets and orchestrator changes.

Enables AI assistants to search, read, and manage Zotero references locally with customizable research workflows.

Provides ephemeral hybrid (vector + BM25) memory for MCP-compatible editors, enabling AI to save and search conversation and code context across sessions with automatic semantic search and context injection.

An MCP server that provides graph-aware tools for interacting with Little Big Brain knowledge graphs, enabling search, query, commit, and configuration operations via natural language.

Provides self-hosted memory management for coding agents via MCP, with local vector storage and tools for adding, searching, updating, and deleting memories.

A lightweight MCP server that enables querying a project's corpus (docs, decisions, issues, skills) with cited answers and typed refusals via stdio JSON-RPC 2.0.

Persistent graph-based memory for AI agents, stored as plain markdown — no vector DB. Typed nodes and 11 relation types via 5 MCP tools (search, get, create, link, related), stdio and HTTP/SSE transports.

A local-first MCP server that routes Littlebird daily context into structured Obsidian notes, connecting daily work to a durable knowledge base.

MCP server that provides programmatic access to the SOLVE-IT digital forensics knowledge base, enabling LLMs to query, navigate, and search forensic techniques, weaknesses, mitigations, objectives, and citations.

Enables AI assistants to identify and judge unexplained terms in prose documents by providing differential linting, term context, and ledger management.

A simple, beginner-friendly Model Context Protocol (MCP) server written in Python. It lets any MCP-compatible AI client (like Claude Desktop) manage a to-do list on your computer through five tools: add, view, get by ID, complete, and delete.

Hosts three live read-only MCP servers enabling agents to retrieve and cross-reference curated fictional and real archives with provenance and source URLs.

Official MCP server for creating, reading, and updating mind maps on coret.id from AI agents. Changes appear live in the Coret editor.

Enables AI assistants to record decision summaries when suggestions are rejected or corrected, and to search past decisions in later sessions so users do not repeat the same corrections.

Turn any website into a book you agent can read

Server for managing academic literature with structured note-taking and organization, designed for seamless interaction with Claude. Built with SQLite for simplicity and portability.

Enables AI agents to run automated daily code reviews, retrieve Markdown reports, and curate a project knowledge base across any Git repository.

A local-first personal AI agent infrastructure that extends Claude Desktop with tools for Google services, web scraping, local memory, knowledge upload, and dynamic workflows via MCP.

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.