Mcp

Problem Definition As Model Context Protocol (MCP) emerges as the standard for AI agent connections, developers face new challenges: Testing Difficulty: No standard way to test MCP server tools, resources, and prompts Debugging Complexity: Need to support multiple transport protocols (STDIO, SSE, HTTP) Official Tool Gaps: Anthropic’s official inspector has limited features and slow development In 2026, the MCP market is exploding with 97M+ monthly SDK downloads. Market Analysis Metric Value MCP Market Size (2025) $1.8B Monthly SDK Downloads 97M+ Major Adopters Microsoft, Google, Salesforce, SAP Target Customers: Developers building MCP servers, AI agent builders ...

Problem (Pain Score: 7/10) When asking AI coding assistants for debugging help, LLMs only see static code—they can’t access actual runtime state. Real Examples: “I don’t know why this variable is null” → LLM can only guess Repeatedly copy-pasting stack traces for complex bugs LLM suggestions don’t work at runtime Limitations of logic analysis without actual variable values Frequency: Every debugging session (daily) AI coding tools like Claude Code and Cursor have become powerful, but complex bug resolution has limits without runtime context. ...