Charles MCP Server
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Alternatives to Charles MCP Server
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Related Servers
- AlicenseBqualityBmaintenanceEnables AI agents to connect to Charles Proxy for live and historical traffic analysis, summary-first insights, request detail inspection, and data-driven mock creation via Map Local/Remote.47MIT
- AlicenseBqualityBmaintenanceIntegrates Charles Proxy with MCP clients to provide real-time and historical network traffic capture and structured analysis. It features a summary-first approach that filters noise and desensitizes data for efficient, low-token agent debugging and monitoring.18101 PyPI322MIT
- AlicenseCqualityAmaintenanceTransforms mitmproxy into a toolset for AI agents to inspect, modify, and replay HTTP/HTTPS traffic in real-time.25204 PyPI126MIT
- AlicenseBqualityCmaintenanceEnables AI agents to intercept, inspect, modify, and replay HTTP, WebSocket, TCP, and UDP traffic through mitmproxy, with controlled security constraints and process isolation.18AGPL 3.0
- AlicenseNot gradedqualityCmaintenanceEnables AI to analyze real-time HTTP(S) traffic captured by ProxyPin, with tools to browse, search, and inspect requests and responses, as well as access saved history sessions.8 npm4MIT
- AlicenseNot gradedqualityCmaintenanceCaptures browser network traffic, analyzes API patterns, and exposes analysis tools through an MCP server for AI-assisted workflows.1MIT
TDQS
Scored across 13 tools
Each tool targets a distinct aspect of traffic capture/analysis: filter tools focus on different fields, checkpoint tools manage timelines, and utilities cover data retrieval, throttling, and summarization. The only pair (check_keyword_exists and filter_by_keyword) is clearly linked as a required sequence, avoiding ambiguity.
All tools use snake_case. Filter tools consistently start with 'filter_by_', while others use verb_noun patterns (e.g., harvest_data, get_raw_data). This provides predictability, though not all follow the exact same template.
13 tools cover the full lifecycle of traffic interception (harvest, checkpoint management, multiple filters, raw data retrieval, network throttling, and traffic summarization) without redundancy or unnecessary scope.
The tool surface enables full CRUD-like operations on captured traffic: harvest (create checkpoint), list/load checkpoints (read), filter by multiple criteria, get raw data, and analyze summaries. Throttling is also included, covering common debugging needs.