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protocols
24 postsLSPS Specifications: How Lightning Service Providers Are Standardizing
A breakdown of LSPS0, LSPS1, and LSPS2 — the specs standardizing how Lightning wallets and service providers exchange channels and liquidity.
MCP Security: Trust Boundaries and the Attacks the Spec Won't Stop
A breakdown of MCP's four trust boundaries, stdio server risks, OAuth 2.1/PKCE/CIMD updates, and the confused-deputy attack class engineers must handle.
Labwire: An Open Protocol for AI-Controlled Lab Instruments
Labwire is an open MCP-like protocol letting AI agents safely discover, command, and stream data from lab instruments with signed proof of execution.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comfreeq ties AI model spend to identity, not shared API keys
freeq extends its DID-based protocol to gate AI model spend by identity, letting agents borrow bounded capacity without sharing API keys.
Exploring DNP3’s Event-Driven Telemetry Model
DNP3's event-driven telemetry model prevents data loss in industrial communications. Discover the core components of this protocol.
XMPP Agent Gateway: A protocol for discovering and invoking AI agents
The XMPP Agent Gateway offers a new protocol for discovering and invoking AI agents.
Private Data in ATProto: Permissioned Data Proposal
The AT Protocol proposes a new permissioned data protocol for social applications, focusing on access control while highlighting security concerns.
Protocol for AI Agent Workspace State and Effect Management
Reel is a protocol that secures AI agent workspace management and effect handling.
MCP Protocol Deep-Dive: Understanding Tool Discovery Mechanics
Explore the MCP protocol's tool discovery process, including JSON-RPC handshake and dynamic endpoint enumeration with practical code examples.
Building Zero-Dependency MCP Servers in Pure Python
A practical walkthrough for implementing Anthropic's Model Context Protocol from scratch using only the Python standard library, with no SDK or pip dependencies.