Web Content Explorer
Docs Fetch MCP Server provides a reliable way for LLMs to retrieve and explore web content with recursive capabilities. It fetches clean, readable content from web pages while identifying and following relevant links within the same domain up to a specified depth. The implementation uses a dual-strategy approach with axios for speed and puppeteer as a fallback for complex pages, along with robust error handling and timeout prevention to ensure reliable operation within MCP time limits. Particularly useful when users want an LLM to autonomously learn about specific topics by exploring documentation or web content.
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 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- browser-automation
- Source
- PulseMCP
- Repository
- github.com/wolfyy970/docs-fetch-mcp
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve Web Content Explorer 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.