Fetch MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| smart_fetchA | Fetch any URL and auto-optimize based on content type. For HTML: converts to clean markdown, stripping navigation, ads, and scripts. For JSON: returns a schema + sample by default for large arrays. Use the jsonpath parameter to drill into specific items or fields on follow-up calls. Dramatically reduces token usage compared to raw fetching. |
| web_searchA | Search the web using DuckDuckGo and return results as a markdown list. |
| css_queryA | Fetch a page and return only the content matching a CSS selector. |
| browser_fetchA | Fetch a JavaScript-rendered page with Playwright and return markdown. |
| pdf_fetchA | Fetch a PDF URL and return its text content as markdown. Falls back to HTML markdown if the URL does not return a PDF. |
| optimize_jsonA | Optimize any JSON payload to reduce token usage. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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MCP directory API
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/micaelmalta/fetch-mcp'
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