Fetch
This fetch MCP server, developed by Zach Caceres, provides AI assistants with a standardized interface for retrieving web content in various formats. Built using TypeScript and the Model Context Protocol SDK, it offers tools for fetching HTML, JSON, plain text, and Markdown from URLs. The server handles custom headers, HTML parsing, and Markdown conversion, abstracting away the complexities of web scraping and content transformation. It's particularly valuable for AI systems that need to gather and process online information, enabling use cases such as content aggregation, web research, data extraction, and automated summarization of 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 2026-09-01.
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
- search
- Source
- PulseMCP
- Repository
- github.com/zcaceres/fetch-mcp
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve Fetch 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.