Fetcher MCP
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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| fetch_urlC | Retrieve web page content from a specified URL |
| fetch_urlsC | Retrieve web page content from multiple specified URLs |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 2 tools
The two tools have overlapping purposes—both fetch web page content—but the descriptions clarify that one handles a single URL while the other handles multiple URLs. This distinction is clear enough to avoid misselection, but the core functionality is identical, leading to some ambiguity in why they are separate tools.
The tool names follow a perfectly consistent verb_noun pattern with 'fetch_url' and 'fetch_urls', using snake_case throughout. The naming is predictable and clear, with no deviations in style or convention.
With only two tools, the server feels under-scoped for a general-purpose 'Fetcher' domain. A single tool with parameters for single or multiple URLs could suffice, making the current count seem redundant and inefficient for typical agent workflows.
The tool surface is severely incomplete for web fetching; it lacks essential operations like handling HTTP methods (e.g., POST), managing headers, parsing content, or error handling. Agents will face dead ends when needing more than basic retrieval, causing frequent failures.