URL Fetcher
MCP-URL-Fetcher provides AI assistants with the ability to fetch and process content from URLs in various formats including HTML, JSON, Markdown, and plain text. The server offers specialized tools for each format type, with features like HTML text extraction, JSON path navigation, and automatic content type detection. It maintains a history of recently fetched URLs and includes helpful prompts for common web fetching scenarios, making it particularly useful for web research, API data retrieval, and content analysis tasks without leaving the conversation interface.
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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · 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/nathanonn/mcp-url-fetcher
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve URL Fetcher 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.