"Habr" matching MCP servers:

An MCP server for parsing and analyzing HAR files, enabling AI assistants to inspect network traffic with automatic redaction of sensitive authentication headers.

Gates agent tool execution with human approval, audit trails, and replay-resistant permits, enabling safe use of tools in agent loops.

Enables AI agents to discover official public data sources, inspect their metadata and endpoint parameters, and execute live queries through a unified response envelope with a 500 ms budget.

A Python MCP server that loads and analyzes HAR files locally, providing structured summaries to AI assistants to avoid token explosion and sensitive content filtering.

Enables AI agents to locally parse and analyze HAR files through read-only MCP tools, including searching requests, discovering endpoints, tracing values, detecting auth and API patterns, comparing requests, and exporting redacted cURL commands.

Captures website HAR data via headless Chromium and provides 20 tools for performance/security auditing, API reverse engineering, and code generation.

Enables querying and searching the Japanese Address Base Registry (ABR) data definitions and official documentation, including field definitions, datasets, and policy documents through tools like list_datasets, get_dataset, search_field, and search_docs.