MCP Servers
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A practical demonstration of integrating LangChain with Model Context Protocol (MCP) featuring both single and multi-server implementations. Includes examples of mathematical computations and weather queries using async operations, React agents, and OpenAI integration.
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.
O(1) authority-based validation across seven domains (chemistry, physics, mathematics, statistics, computer science, biology, governance). Replaces O(n²) consensus coordination. Four-gate pipeline: RED, FLOOR, BROTHERS, GOD. MCP server included — connects to Claude Desktop and clients
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.
