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Glama
attamari

mcp-server-fetch-rag

by attamari

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
PROXY_URLNoProxy URL for HTTP requests
USER_AGENTNoCustom User-Agent string
IGNORE_ROBOTS_TXTNoIgnore robots.txt restrictions (set to 'true' to enable)

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

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
fetch_ragA

Fetch URL and return relevant content. Optionally provide a query to find specific information.

Prompts

Interactive templates invoked by user choice

NameDescription
fetch_ragFetch a URL and extract relevant content chunks

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.6/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of confusion between tools. The single tool 'fetch_rag' is distinct by default.

Naming Consistency5/5

The single tool name follows a clear verb_noun pattern ('fetch_rag'). Consistency is trivially achieved with only one name.

Tool Count3/5

The server contains only one tool, which falls into the borderline category for scope. While a single-purpose fetch/retrieve tool might be acceptable, it feels thin for a typical MCP server.

Completeness3/5

The tool covers a single operation: fetching a URL and optionally querying for specific information. There are potential gaps such as batch fetching or handling stateful RAG workflows, but for a basic use case it may suffice.

Maintenance

ActivityInactive
ResponsivenessNo issues