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Server Details

Web tools for agents: fetch URL as markdown (free MCP) + x402 scrape, links, AI JSON, snapshot.

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Status
Healthy
Last Tested
Transport
Streamable HTTP
URL
Repository
agishub/agishub-mcp
GitHub Stars
1
Server Listing
AgisHub MCP Server

Available Tools

1 tool
extractAInspect

Fetch any public web page and return its main content as clean, token-efficient Markdown (title, description, headings, links, lists). Set render:true to execute JavaScript first for single-page apps or JS-heavy pages that would otherwise come back empty. Built for RAG and for agents that need to read the contents of a URL.

ParametersJSON Schema
NameRequiredDescriptionDefault
urlYesFull http/https URL of the page to extract.
renderNoRender JavaScript with a headless browser before extracting (default false). Enable for SPAs / JS-heavy pages that return empty content otherwise. Slower.
max_charsNoTruncate the markdown to at most this many characters (sets truncated:true).
include_linksNoKeep hyperlinks in the markdown output (default true).
include_imagesNoKeep images as markdown (default false).

TDQS

A4.2/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. Mentions Markdown output and render behavior but lacks details on error handling, rate limits, or access restrictions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with core purpose, second sentence explains key parameter. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Comprehensive for a web extraction tool with no siblings and no output schema. Covers main behavior and key parameter, though error handling and size limits are omitted.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, baseline 3. Description adds meaning by explaining render's purpose with performance trade-off and that max_chars sets truncated:true, exceeding schema detail.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the tool fetches any public web page and returns main content as Markdown, listing included elements. Verb+resource is specific and unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides guidance on when to use render:true (SPAs/JS-heavy pages) and that it's slower. No sibling tools to differentiate, but context is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 1 tool update
    • Removedweb_search
  2. 1 tool update
    • Addedweb_search
  3. 1 tool update
    • First observedextract

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TDQS

A4.2/5.0
Disambiguation5/5

There is only one tool, so there is no possibility of an agent confusing it with another tool. Its purpose of extracting a page as Markdown is clearly defined.

Naming Consistency4/5

The tool name 'extract' is a clear, simple verb that matches the server's purpose, but it lacks the verb_noun structure seen in more convention-driven servers. With only one tool there is no conflicting pattern to penalize heavily.

Tool Count4/5

One tool is minimal, but it is well-scoped for the stated use case of reading URL contents as Markdown. It would feel thin for a broader scraping toolkit, but it does not exceed or waste its apparent scope.

Completeness4/5

The extract tool covers the core fetch-and-convert-to-Markdown workflow including optional JavaScript rendering. Minor gaps like raw HTML output or custom element selection exist, but they are not promised by the server's stated RAG-focused purpose.