A developer released mcpsnoop, an open-source transparent proxy that sits between AI clients and MCP servers to capture live JSON-RPC traffic, addressing the blind spot of the official MCP Inspector w…
A developer released Evaluation Context Protocol (ECP), a vendor-neutral protocol for testing AI agent outputs, tool calls, and audit context across frameworks and CI systems. ECP complements MCP by f…
AWS and Cisco propose agentic overlays as a pragmatic solution to transform legacy REST-based enterprise services into agents compatible with the Agent-to-Agent (A2A) protocol and Model Context Protoc…
Flama, a Python web framework, now offers native support for building Model Context Protocol (MCP) servers, enabling AI agents to call functions, read data, and use prompt templates through simple dec…
The Model Context Protocol (MCP) is fundamentally different from simple skills or plugins, serving as a substrate that affects tool access, identity, credential scope, sandboxing, routing, governance,…
Developer built Godex, an AI coding agent, and created an MCP server in 200 lines of Go, arguing that Go is the ideal language for MCP servers due to its standard library JSON-RPC support, concurrency…
A developer released mcp-postgres, a high-performance MCP server written in Rust that provides 135 PostgreSQL tools for AI tools like Claude Desktop, featuring lock-free connection pooling and sub-10m…
A developer built their first Model Context Protocol (MCP) server to give Claude Code read access to a local project knowledge base, sharing four lessons about tool design. The server uses the officia…
A developer identified a critical failure mode in the Model Context Protocol (MCP) where agents log success despite tasks never executing. The issue occurs when MCP servers return null results inside …
Testing MCP servers with real AI models is essential because servers that pass wire-level tests can fail when models attempt to use them. A developer explains that the semantic layer—whether a model c…
Agent-mediated commerce is shifting from HTML product pages to structured endpoints like JSON-LD and WebMCP, as agents require efficient, token-saving data access. Google's Universal Commerce Protocol…
BoxAgnts has released a runtime architecture that separates the Model Context Protocol (MCP) layer from a dedicated execution runtime, arguing that protocol standardization alone is insufficient for s…
A developer has published a guide for building a Model Context Protocol (MCP) server from scratch using the bare JSON-RPC 2.0 protocol, bypassing common frameworks to give engineers full control over …
The Model Context Protocol (MCP), an open standard proposed by Anthropic in late 2024, enables websites to expose queryable tools directly to AI agents via JSON-RPC, replacing UI scraping with structu…
A developer built an MCP (Model Context Protocol) server using Spring AI with JSON-RPC and Server-Sent Events (SSE) transport. The implementation enables standardized tool exposure for AI agents by le…
A developer built a local MCP server that provides Claude Code with real PR context, including blame history, linked issues, and structured review formats. The tool reduces PR review time from 90 seco…
Anthropic has developed the Model Context Protocol (MCP), an open-source protocol that enables AI models to directly access external systems such as databases, files, and internal tools for fresh and …
A developer built an AI-orchestrated 3D asset pipeline that converts JPEG images into game-ready GLB files without manual Blender use. The system uses an AI agent operating Blender through the Model C…
A Laravel developer has built a production-grade Model Context Protocol (MCP) server using HTTP+SSE transport, enabling external AI agents to discover, authenticate against, and invoke Laravel-based t…