MCP Servers
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Memory & Knowledge
AI-generated help docs for your web app in minutes, not weeks. KodaDocs is a Claude Code MCP server that reads your codebase, captures screenshots with a headless browser, annotates UI elements, writes documentation articles, and assembles a complete VitePress help center. Supports
LawMem gives legal AI agents persistent, searchable memory via MCP. Store case notes, client context, research findings, and matter history — recalled semantically when relevant. Namespace-isolated, audit-logged, GDPR-compliant. Free tier + paid plans.
A template repository that includes a dev container for running a local LLM and included knowledge base. Add a git repo using `git subtree` or `git submodule` and update it using an MCP Client/Server relationship i.e. `VS Code` extension like `Cline` and the `Filesystem`/`Obsidian`
This project is derived from the original @modelcontextprotocol/server-memory package, modified for my specific needs. Providing persistent memory capabilities for AI models through a knowledge graph. This allows models like Claude to retain and recall information across interactions.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
