Fetch (Mozilla Readability)
This Mozilla Readability Parser MCP server, created by Max Zimmer, extracts and transforms webpage content into clean, LLM-optimized Markdown. It uses Mozilla's Readability algorithm to remove ads, navigation, and non-essential elements while preserving core content structure. The server converts HTML to well-formatted Markdown, returns article metadata, and handles errors gracefully. It integrates with the Model Context Protocol, allowing AI assistants to fetch and parse web content efficiently. This implementation is particularly useful for reducing token usage in LLM processing, ensuring consistent formatting, and providing clean, relevant content for tasks like summarization, analysis, or information extraction from web pages.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/emzimmer/server-moz-readability
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Fetch (Mozilla Readability) 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.