Skip to main content
Glama
fouradata

@fouradata/mcp

Official

Server Quality Checklist

92%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v0.6.0

  • Disambiguation4/5

    The tools are differentiated by their fetching strategy (HTTP, proxy, browser, auto), and descriptions clearly state when to use each. However, all share the same core purpose of retrieving a URL, and 'auto' is a meta-wrapper that could cause some confusion, though the guidance mitigates this.

    Naming Consistency5/5

    All tools follow a consistent pattern with the 'foura_' prefix and a descriptive suffix (single, proxy, browser, auto). The naming is uniform and uses snake_case throughout, making it easy to predict and remember.

    Tool Count5/5

    With 4 tools, the set is well-scoped for the domain of web content retrieval. Each tool serves a distinct purpose and adds value, avoiding unnecessary bloat or a too-thin offering.

    Completeness4/5

    The tool set covers the main strategies for fetching web content: simple HTTP, proxy routing, full browser rendering, and an auto mode. Minor gaps like explicit header or cookie management are absent, but the request parameters and session reuse handle most needs, so the surface is largely complete.

  • Average 4.5/5 across 4 of 4 tools scored.

    See the Tool Scores section below for per-tool breakdowns.

    • No community issues in the last 6 months
    • 38 commits in the last 12 weeks
    • Last stable release on
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI is passing
  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

  • No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.

    Tip: use the "Try in Browser" feature on the server page to seed initial usage.

  • This repository includes a glama.json configuration file.

  • This server has been verified by its author.

How to sync the server with GitHub?

Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.

To manually sync the server, click the "Sync Server" button in the MCP server admin interface.

How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

  • Behavior4/5

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

    The description adds significant behavioral context beyond annotations: JavaScript execution, DOM rendering, cookie return, SSRF_blocked for private targets, error envelopes for checkText/checkStatus, and offload_large behavior. Annotations provide readOnlyHint=true, so the loading action is appropriately framed as a read operation. No contradictions.

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

    Conciseness4/5

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

    The description is tightly written with no redundancy. It front-loads the core purpose ('Load a public URL in a full browser session') and then efficiently adds key behaviors, usage notes, and parameter guidance in a compact paragraph. Every sentence contributes essential information.

    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?

    For a tool with 10 parameters, nested objects, and a complex behavior (full browser, cookies, proxy, challenges, offload), the description covers all critical aspects: loading, JS, cookies, proxy reuse, unblocker flag, error handling (checkText/checkStatus, ssrf_blocked), offload, and timeout. Output schema exists and is not expected to be described. Minor omission: no mention of rate limits or authentication requirements.

    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?

    The input schema has 100% coverage with descriptions, and the tool description adds further meaning: for proxy, it explains three forms (URL, base36 ID from foura_proxy, or omit); for cookies, it clarifies structure and domain scoping; for unblocker, it states default and use case. This adds value beyond the schema.

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

    Purpose4/5

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

    The description clearly states the tool loads a public URL in a full browser session with JavaScript, DOM rendering, and cookies. It specifies use cases (SPAs, lazy-loaded content, browser challenges) and implicitly differentiates from siblings by mentioning 'full browser', but does not explicitly contrast with foura_auto or foura_single.

    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?

    The description gives clear guidance on when to use (SPAs, lazy-loaded, challenges) and when not to (protected pages should use foura_proxy first). It also explains parameter usage (unblocker:false for raw page). However, it does not explicitly describe conditions for choosing foura_auto or foura_single.

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

  • Behavior4/5

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

    Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds behavioral context beyond that: automatic retry, the response including the proxy ID, and its reuse/exclusion with ignoreProxies. No contradictions.

    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?

    Three sentences, front-loaded with purpose, no fluff. Each sentence contributes: what it does, when to use it, and how to work with the response.

    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?

    The description covers the essential decision points (when to use, exit countries, JavaScript handling, proxy reuse) and is supported by a rich schema and output schema. It does not detail parameters like maxTries or offload_large, but those are well-documented in the schema.

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

    Parameters3/5

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

    Schema description coverage is 100%, so the schema already documents all parameters. The description mentions exitCountries and request.browser/os/version, but these are already in the schema; it adds no new per-parameter meaning beyond connecting proxy ID reuse to ignoreProxies.

    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?

    The description states a specific verb and resource: 'Route an HTTP request through rotating proxies with automatic retry.' It explicitly distinguishes this tool from siblings by naming foura_single and foura_browser, making its role clear.

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

    Usage Guidelines5/5

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

    Provides explicit when-to-use guidance: 'Use it when foura_single is blocked or the target requires a specific exit country' and 'Use foura_browser when the page needs JavaScript.' This gives clear context and names alternative tools.

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

  • Behavior4/5

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

    Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context: it performs a single request, does not execute JavaScript, and can present as different browsers when defaults are refused. This goes beyond annotations without contradicting them.

    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?

    Three concise sentences: purpose, use cases, and alternative tool guidance. No filler, front-loaded with the core function, and every sentence serves a clear role. Ideal length for a tool description.

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

    Completeness5/5

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

    Given the rich input schema (20 parameters with full descriptions), output schema, and annotations, the description fills the remaining gap: it provides high-level selection guidance and distinguishes this tool from siblings. No critical missing information for an agent to choose and invoke it correctly.

    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 description coverage is 100%, so the schema documents all parameters. The description adds contextual meaning for browser/os/version parameters ('Set browser, os, or version when a target refuses the default Chrome'), which is not present in the schema, enhancing an agent's understanding of when to adjust these parameters.

    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?

    The description clearly states the tool's action: 'Send one HTTP request and return the response.' It specifies target use cases (static pages, JSON APIs, server-rendered HTML) and differentiates from siblings by directing users to foura_proxy for blocked responses and foura_browser for JavaScript-dependent pages.

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

    Usage Guidelines5/5

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

    Explicit guidance on when to use the tool ('static pages, JSON APIs, and server-rendered HTML') and when to switch to alternatives ('Switch to foura_proxy if the response is blocked, and use foura_browser when the page needs JavaScript'). It also advises adjusting browser/os/version when the default Chrome is refused.

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

  • Behavior5/5

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

    Beyond the readOnlyHint/destructiveHint annotations, the description adds valuable behavioral context: "Auto makes bounded attempts and returns either validated content or a failure; it cannot guarantee a match." It also discloses response contents (completion details, reusable session values) and the validation fallback for protected targets. No contradiction with annotations.

    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?

    The description is four sentences, front-loaded with the core action, then usage context, a key validation tip, behavior/response details, and alternatives. Every sentence earns its place with no fluff or repetition of schema content.

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

    Completeness5/5

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

    Given the tool's complexity (11 params, nested objects, output schema), the description provides the missing high-level context: default use case, limitation (no guarantee), validation strategy, response highlights, and sibling differentiation. The presence of an output schema covers return-value details, making this complete.

    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%, so the baseline is 3. The description adds meaningful parameter guidance by highlighting `validate.data.accept` for protected targets and mentioning "reusable session values" (relating to `returnSession`). This goes beyond simply restating schema descriptions without redundant explanation.

    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?

    The description clearly states the tool's function: "Give it a public URL and get the content back." It also explicitly distinguishes itself from siblings by positioning it as the default when not choosing between HTTP, proxy rotation, and a full browser, and names alternative tools (foura_single, foura_proxy) for lower-level control.

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

    Usage Guidelines5/5

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

    Provides explicit when-to-use guidance: "This is the default when you don't want to choose between HTTP, proxy rotation, and a full browser." Also gives clear exclusion criteria: "Use a lower-level tool when you need direct control over HTTP, proxy selection, or browser navigation, or to choose which browser is presented to the target." This fully satisfies the dimension.

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

GitHub Badge

Glama performs regular codebase and documentation scans to:

  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues.
  • Evaluate tool definition quality.

Our badge communicates server capabilities, safety, and installation instructions.

Card Badge

mcp MCP server

Copy to your README.md:

Score Badge

mcp MCP server

Copy to your README.md:

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/fouradata/mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server