toolpipe-mcp-server▌
by COSAI-Labs
MCP server with 55+ developer utility APIs: JSON, QR, hash, UUID, DNS, WHOIS, code review, fake data, Dockerfile gen, re
MCP server providing 35 developer utility APIs including JSON formatting, code generation, cryptography, networking tools, and data conversion utilities.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / General purpose MCP workflows
capabilities
- / json_format
- / generate_qr_code
- / generate_hash
- / generate_uuid
- / base64
- / markdown_to_html
what it does
MCP server providing 35 developer utility APIs including JSON formatting, code generation, cryptography, networking tools, and data conversion utilities.
about
toolpipe-mcp-server is a community-built MCP server published by COSAI-Labs that provides AI assistants with tools and capabilities via the Model Context Protocol. MCP server with 55+ developer utility APIs: JSON, QR, hash, UUID, DNS, WHOIS, code review, fake data, Dockerfile gen, re It is categorized under search web. This server exposes 20 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install toolpipe-mcp-server in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
NOASSERTION
toolpipe-mcp-server is released under the NOASSERTION license.
readme
@toolpipe/mcp-server
MCP (Model Context Protocol) server for ToolPipe -- 35 developer utility APIs accessible to AI agents.
Tools Included
| # | Tool | Description |
|---|---|---|
| 1 | json_format | Format, validate, pretty-print JSON |
| 2 | generate_qr_code | Generate QR code image URLs |
| 3 | generate_hash | MD5, SHA-1, SHA-256, SHA-512 hashing |
| 4 | generate_uuid | Generate UUIDs (v4) |
| 5 | base64 | Encode/decode Base64 strings |
| 6 | markdown_to_html | Convert Markdown to HTML |
| 7 | shorten_url | Shorten long URLs |
| 8 | regex_test | Test regex patterns against text |
| 9 | text_stats | Word count, reading time, etc. |
| 10 | jwt_decode | Decode JWT tokens |
| 11 | dns_lookup | DNS record lookups (A, MX, TXT, etc.) |
| 12 | http_headers | Check HTTP response headers |
| 13 | ssl_check | Inspect SSL/TLS certificates |
| 14 | generate_password | Generate strong random passwords |
| 15 | lorem_ipsum | Generate placeholder text |
| 16 | convert_color | Convert between HEX, RGB, HSL |
| 17 | parse_cron | Parse cron expressions to human-readable text |
| 18 | convert_timestamp | Convert Unix timestamps and ISO dates |
| 19 | csv_to_json | Convert CSV data to JSON |
| 20 | minify_code | Minify JavaScript, CSS, or HTML |
| 21 | code_review | Review code for bugs, security, best practices |
| 22 | code_explain | Explain code in plain English |
| 23 | code_format | Format/beautify code in many languages |
| 24 | generate_fake_data | Generate realistic mock data (names, emails, etc.) |
| 25 | json_schema_validate | Validate JSON against a JSON Schema |
| 26 | whois_lookup | WHOIS domain registration info |
| 27 | generate_dockerfile | Generate Dockerfiles for any language/framework |
| 28 | generate_docker_compose | Generate docker-compose.yml for multi-service stacks |
| 29 | generate_commit_message | Generate conventional git commit messages |
| 30 | generate_regex | Generate regex from natural language |
| 31 | sql_format | Format and beautify SQL queries |
| 32 | json_to_typescript | Generate TypeScript interfaces from JSON |
| 33 | jwt_create | Create signed JWT tokens |
| 34 | web_extract | Extract structured content from URLs |
| 35 | prompt_engineer | Improve and optimize LLM prompts |
Installation
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"toolpipe": {
"command": "npx",
"args": ["-y", "@toolpipe/mcp-server"],
"env": {
"TOOLPIPE_API_KEY": "your-api-key-here"
}
}
}
}
Claude Code
claude mcp add toolpipe -- npx -y @toolpipe/mcp-server
Cursor / Windsurf / Other MCP Clients
{
"toolpipe": {
"command": "npx",
"args": ["-y", "@toolpipe/mcp-server"]
}
}
Direct Usage
npx @toolpipe/mcp-server
Environment Variables
| Variable | Description | Default |
|---|---|---|
TOOLPIPE_BASE_URL | API base URL | https://toolpipe.dev |
TOOLPIPE_API_KEY | API key for higher rate limits | (none, free tier) |
Pricing
- Free: 100 API calls per day, no signup required
- Pro: 10,000 API calls per day for $9.99/month
- Enterprise: 100,000 API calls per day for $49.99/month
Pay with crypto (BTC, ETH, USDT, SOL). No KYC required.
Get an API key at https://toolpipe.dev.
Why ToolPipe?
- 35 tools in one package: No need to install multiple MCP servers
- Works out of the box: No API key needed for free tier
- AI-agent friendly: Designed for Claude, GPT, and other LLM agents
- Fast: Sub-100ms response times for most tools
- Reliable: 99.9% uptime, rate-limited to prevent abuse
Requirements
- Node.js 18 or later
License
MIT
FAQ
- What is the toolpipe-mcp-server MCP server?
- toolpipe-mcp-server is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for toolpipe-mcp-server?
- This profile displays 41 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Web Research & Information Gathering
Fetch and extract information from websites automatically
Example
Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Content Monitoring & Alerts
Track website changes, new content, price updates
Example
Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Data Extraction & Aggregation
Extract structured data from multiple websites
Example
Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
API-less Integration
Interact with services that don't offer APIs
Example
Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
Implementation Guide▌
Prerequisites
- ›Claude Desktop or Cursor with MCP support
- ›Understanding of web scraping ethics and robots.txt
- ›Rate limiting awareness to avoid overwhelming target sites
- ›Knowledge of legal restrictions on data collection
Time Estimate
20-40 minutes including configuration and testing
Installation Steps
- 1.Install web automation MCP server via npm or pip
- 2.Configure allowed domains and rate limits in MCP config
- 3.Test with simple fetch: 'Get content from example.com'
- 4.Progress to extraction: 'Extract all product prices from this page'
- 5.Set up monitoring: 'Check this URL daily for changes'
- 6.Parse structured data: 'Create CSV from this table'
- 7.Respect robots.txt and rate limits always
Troubleshooting
- ⚠403 Forbidden: Website blocks bots—respect their wishes, use official API instead
- ⚠Rate limit errors: Slow down requests, add delays between fetches
- ⚠Stale data: Target site changed HTML structure—update selectors
- ⚠Timeout errors: Site is slow or blocking—increase timeout, try different user agent
- ⚠JavaScript-rendered content: Use headless browser MCP servers for dynamic sites
Best Practices▌
✓ Do
- +Check robots.txt and respect crawl rules
- +Rate limit requests: 1-2 requests/second maximum
- +Use official APIs when available instead of scraping
- +Identify your bot with descriptive user agent
- +Cache results to minimize repeated requests
- +Handle errors gracefully with retries and fallbacks
- +Validate extracted data for accuracy
✗ Don't
- −Don't scrape sites that explicitly forbid it (robots.txt, ToS)
- −Don't overwhelm servers with rapid requests—use rate limiting
- −Don't scrape personal data without consent and legal basis
- −Don't ignore copyright on extracted content
- −Don't assume HTML structure is stable—handle changes
- −Don't use scraped data for commercial purposes without permission
💡 Pro Tips
- ★Use CSS selectors or XPath for robust data extraction
- ★Set up monitoring alerts for extraction failures (structure changed)
- ★Implement exponential backoff for retries on failures
- ★Store raw HTML for reprocessing if extraction logic changes
- ★Combine with data analysis tools for insights from extracted data
- ★Consider using official APIs or RSS feeds as more stable alternatives
Technical Details▌
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
- HTTP/HTTPS
- WebSocket (for real-time sites)
- Puppeteer/Playwright (for JavaScript sites)
Compatibility
- Static HTML sites
- JavaScript-rendered SPAs (with headless browser)
- REST APIs
- GraphQL endpoints
When to Use This▌
✓ Use When
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid When
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.
Integration▌
- →Scheduled monitoring with change detection
- →Multi-source data aggregation pipelines
- →Fallback to web scraping when API rate limits hit
- →Headless browser for JavaScript-heavy sites
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.8★★★★★41 reviews- ★★★★★Aditi Srinivasan· Dec 16, 2024
I recommend toolpipe-mcp-server for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Ganesh Mohane· Dec 12, 2024
toolpipe-mcp-server is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Aditi Singh· Dec 8, 2024
We evaluated toolpipe-mcp-server against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Benjamin Tandon· Dec 4, 2024
According to our notes, toolpipe-mcp-server benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Aanya Torres· Nov 27, 2024
toolpipe-mcp-server has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Zara Flores· Nov 19, 2024
I recommend toolpipe-mcp-server for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Rahul Santra· Nov 3, 2024
Strong directory entry: toolpipe-mcp-server surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Pratham Ware· Oct 22, 2024
Useful MCP listing: toolpipe-mcp-server is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Isabella Khanna· Oct 18, 2024
toolpipe-mcp-server is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Evelyn Gupta· Oct 10, 2024
According to our notes, toolpipe-mcp-server benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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