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Tagged: mcp-server
Spring AI + MCP: Expose Your Java Tools to Any AI Client (Even
Spring AI with MCP: expose Java tools to any AI client through Model Context Protocol, the problem it solves and a hands-on server you can connect today.
9 min readPractical notes: Building a Public, Authenticated MCP Server: A Working Journal
Operable walkthrough of Practical notes: Building a Public, Authenticated MCP Server: A Working Journal: contracts, checks, and drop-in code slots for teams shipping this pattern.
6 min readPractical notes: MCP Is Dead for production systems
Operable walkthrough of Practical notes: MCP Is Dead for production systems: contracts, checks, and drop-in code slots for teams shipping this pattern.
6 min readPractical notes: The hidden cost of ‘just add an .mcp.json
Operable walkthrough of Practical notes: The hidden cost of ‘just add an .mcp.json’: contracts, checks, and drop-in code slots for teams shipping this pattern.
9 min readPractical notes: MCP Framework Benchmark 2026: The Same Server Across the
Operable walkthrough of Practical notes: MCP Framework Benchmark 2026: The Same Server Across the: contracts, checks, and drop-in code slots for teams shipping this pattern.
6 min readUsing k6 and Grafana MCP for AI-Powered Performance Testing
AI-powered performance testing with k6 and Grafana MCP: what the k6 MCP server provides, setup, generating a load test and validating results with an agent.
14 min readPractical notes: How to Choose an MCP Framework: The Production Scorecard
Operable walkthrough of Practical notes: How to Choose an MCP Framework: The Production Scorecard: contracts, checks, and drop-in code slots for teams shipping this pattern.
7 min readPractical notes: UI/UX Paradigm Shift — A2UI, AG-UI, MCP Apps & Web MCP
Operable walkthrough of Practical notes: UI/UX Paradigm Shift — A2UI, AG-UI, MCP Apps & Web MCP: contracts, checks, and drop-in code slots for teams shipping this pattern.
7 min readPractical notes: MCP on Databricks: Governance Models, Deployment Boundaries
Operable walkthrough of Practical notes: MCP on Databricks: Governance Models, Deployment Boundaries: contracts, checks, and drop-in code slots for teams shipping this pattern.
7 min read
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