Simple Website Fetcher
This MCP server, developed by Kirill Markin, provides a simple tool for fetching website content. Built with Python and leveraging the MCP library, it offers a standardized interface for AI models to retrieve web page data. The implementation focuses on ease of deployment, with Docker and Heroku support, and includes configuration options for customizing server behavior. By enabling AI assistants to access web content through a unified API, this server facilitates use cases such as web scraping, content analysis, and information retrieval. It's particularly useful for applications and AI models that require programmatic access to web data without dealing with the complexities of direct HTTP requests and HTML parsing.
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
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/chrisboden/mcp_template
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Simple Website 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.