smithery-ai-fetch
Server Details
A simple tool that performs a fetch request to a webpage.
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- smithery-ai/mcp-servers
- GitHub Stars
- 95
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Managed credentials
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Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 3.1/5 across 3 of 3 tools scored.
Each tool has a clearly distinct purpose: fetch_url retrieves basic page information, extract_elements targets specific CSS-selectable content, and get_page_metadata focuses on comprehensive metadata extraction. There is no overlap in functionality, making tool selection unambiguous for an agent.
All tool names follow a consistent verb_noun pattern (fetch_url, extract_elements, get_page_metadata) with clear, descriptive verbs. The naming is uniform and predictable across the set, enhancing readability and usability.
With 3 tools, the server is well-scoped for web fetching and extraction tasks, but it feels slightly minimal; adding a tool for navigation or interaction (e.g., click_element) could enhance completeness. However, the current count is reasonable and each tool earns its place.
The toolset covers core web fetching and extraction needs: fetching URLs, extracting elements, and retrieving metadata. A minor gap exists in interactive capabilities (e.g., form submission or dynamic content handling), but agents can work around this for basic use cases.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
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For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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