Browser History Analysis
Browser History Analysis MCP server by Eleanor Mazzarella that provides AI assistants with access to local Firefox and Chrome browser history for productivity analysis and browsing pattern insights. The implementation uses SQLite database access to retrieve browsing data, categorizes websites across 12+ domains (social media, development, education, entertainment, etc.), and performs session analysis with productivity metrics, focus scoring, and learning path detection. Built with comprehensive analysis tools including domain statistics, time pattern analysis, rabbit hole detection, and research session identification, it serves users wanting to understand their browsing habits, optimize productivity workflows, or gain insights into their digital consumption patterns through conversational analysis of their browser history data.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/mixophrygian/browser_history_mcp
- Author type
- human
- Updated
- 2026-05-12
Use via MCP
Resolve Browser History Analysis from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.