A developer detailed the architecture of federated multi-agent networks using the Model Context Protocol (MCP), drawing parallels to microservices to enable scalable, distributed AI coordination. The …
An Enterprise Cloud & AI Architect proposes the Governed Execution Gateway, a specialized egress proxy for securing MCP servers and tool execution in enterprise AI deployments. The gateway enforces mu…
A developer built a minimal MCP server in Go that exposes a single tool for calculating compound interest, demonstrating how the Model Context Protocol enables dynamic tool discovery via a JSON-RPC ha…
The MCP 2026-07-28 revision introduces Multi Round-Trip Requests (MRTR), a breaking change that invalidates latency measurements in observability tools by requiring separate JSON-RPC IDs for each leg …
A developer built and verified a local TypeScript STDIO MCP server named 'gemini-consultant' that allows coding agents like Google Antigravity and OpenAI Codex to call the Gemini API for independent e…
A technical deep-dive into the Model Context Protocol (MCP) reveals that tool discovery begins with a JSON-RPC 2.0 handshake negotiating protocol version and capabilities, followed by cursor-based pag…
Priya Nair published a tutorial on building a TypeScript CLI that connects to any Model Context Protocol (MCP) server, enabling Claude to discover and call tools at runtime without hardcoded function …
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 …