url-parser-mcp
Vinkius Edge high-performance Model Context Protocol (MCP) server for URL parsing and query manipulation.
Install / Use
claude mcp add vinkius-labs -- npx -y github:vinkius-labs/url-parser-mcpIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AI & Machine LearningSupported Platforms
Tags
Our assessment of url-parser-mcp
url-parser-mcp scores 67/100 on our quality scale, 891st of 958 AI & Machine Learning skills we index.
Its MCP Server is 2.5 KB long, split into 6 sections with 2 code examples: a solid amount of guidance for an agent.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 3 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
- Our last check on 2026-09-12 found the source still online.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 78/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-10-03. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
url-parser-mcp compared with similar skills
All 4 of these similar skills score higher than url-parser-mcp; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| url-parser-mcp (this skill)by vinkius-labs | 67 | 3 | 3mo ago | MCP Server |
| claude-memby thedotmack | 100 | 95.2k | today | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 88.6k | 17d ago | CLAUDE.md |
| Understand-Anythingby Egonex-AI | 100 | 85.1k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.3k | today | CLAUDE.md |
Frequently asked questions
- How do I install url-parser-mcp?
- Run
claude mcp add vinkius-labs -- npx -y github:vinkius-labs/url-parser-mcp. The install tabs above show the steps for each supported agent. - Which AI agents does url-parser-mcp work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is url-parser-mcp safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It declares no license and scores 78/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is url-parser-mcp still maintained?
- The repository was last updated about 3 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
Skill content
View source on GitHubURL Parser MCP Server
A structural Model Context Protocol (MCP) server that enables autonomous agents to precisely deconstruct, analyze, and manipulate complex Uniform Resource Locators (URLs) and query parameters without the risk of hallucination.
Why AI Struggles with URL Parsing
URLs are strict hierarchical structures, but LLMs process them as flat sequences of text tokens. When an agent attempts to extract deeply nested query parameters, resolve relative paths against a base domain, or properly URL-encode specific segments, it frequently corrupts the structure—breaking links or creating malformed API requests.
The Solution: Structural Deconstruction
The URL Parser MCP provides agents with a deterministic URI parsing engine. It breaks down any URL into its exact semantic components (protocol, hostname, port, pathname, search params, and hash) and returns a structured JSON object. This allows the AI to programmatically manipulate query strings and paths with zero risk of syntax errors.
Agentic Tools
-
parse_url- Function: Deconstructs a raw URL string into a structured, easily manipulated JSON object.
- Output: Exact separation of
searchParams,hostname,protocol, etc. - Use Case: Web scraping agents analyzing pagination links, or security agents auditing destination domains.
-
build_url- Function: Safely constructs a complete URL from component parts, ensuring mathematically perfect URL encoding.
Run on Vinkius Edge (Free Edge Hosting)
Vinkius provides free, highly available edge hosting using secure V8 isolates. Deploying to the Vinkius Edge is the fastest way to make this MCP server accessible to any AI agent anywhere, with sub-millisecond response times and zero maintenance.
- Clone this repository
- Run the deployment command:
npx mcpfusion deploy
That's it. Your MCP server is now live, secure, and ready to be connected to your agents.
👉 Access the URL Parser MCP on Vinkius
Local Development
Constructed using MCP Fusion for reliable, strictly typed execution.
npm install
npm run dev
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.