by bitDive · MCP Server · ★ 81
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BitDive MCP Server Python MCP server for BitDive trace analysis, request reproduction, and regression management. This repository exposes BitDive monitoring and QA operations to MCP clients such as Cursor, Claude Desktop, and other agent runtimes. The implementation lives in and connects to the BitDive Monitoring API while adding its own formatting, normalization, and comparison logic on top. Use this repository from the branch. Demo Watch the BitDive product demo on YouTube: https://www.youtube.com/watch?v=WqtLXcODz8I Overview This server is not just a thin API proxy. It wraps BitDive API endpoints and makes them usable for agent workflows: compact heatmap summaries for discovery readable trace summaries instead of raw JSON only Bash and PowerShell reproduction commands from captured requests before/after trace comparison with payload and contract drift reporting SQL normalization and volatile
| Stars | 81 |
| Forks | 18 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 75.9339767544876/100 |
| Last Updated | 2026-05-30 |
| Created | 2025-10-03 |
| Platforms | mcp, python |
| Est. Tokens | ~9k |
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mcp-server is BitDive Model Context Protocol (MCP) server. The Autonomous Quality Loop for AI agents. Provides real runtime context, before/after trace comparison, and integration testing workflows.. It is categorized as a MCP Server with 81 GitHub stars.
mcp-server is primarily written in Python. It covers topics such as ai-agents, bitdive, llm-tools.
You can find installation instructions and usage details in the mcp-server GitHub repository at github.com/bitDive/mcp-server. The project has 81 stars and 18 forks, indicating an active community.
The top alternatives to mcp-server on Agent Skills Hub include oxylabs-mcp, azan-mcp, model-context-protocol-resources. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.