mcp-iteratools▌
by fredpsantos33
MCP server for IteraTools API — 20+ AI-powered tools (image gen, OCR, TTS, scraping, QR, weather, crypto, PDF...) with x
MCP server providing access to 20+ AI-powered tools including image/video generation, web scraping, PDF processing, and utility functions through the IteraTools API with pay-per-use pricing.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / General purpose MCP workflows
capabilities
- / generate_image
- / fast_image
- / remove_background
- / resize_image
- / ocr
- / generate_video
what it does
MCP server providing access to 20+ AI-powered tools including image/video generation, web scraping, PDF processing, and utility functions through the IteraTools API with pay-per-use pricing.
about
mcp-iteratools is a community-built MCP server published by fredpsantos33 that provides AI assistants with tools and capabilities via the Model Context Protocol. MCP server for IteraTools API — 20+ AI-powered tools (image gen, OCR, TTS, scraping, QR, weather, crypto, PDF...) with x It is categorized under ai ml. This server exposes 17 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install mcp-iteratools 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
MIT
mcp-iteratools is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
mcp-iteratools
MCP server for IteraTools API — 20+ AI-powered tools for AI agents, all under a single API key.
Tools Available
| Tool | Description | Price |
|---|---|---|
generate_image | AI image generation (Flux 1.1 Pro) | $0.005 |
fast_image | Fast image generation (Flux Schnell) | $0.002 |
remove_background | Remove image background | $0.003 |
resize_image | Resize an image | $0.001 |
ocr | Extract text from image | $0.002 |
generate_video | AI video generation | $0.050 |
screenshot | Screenshot a webpage | $0.003 |
scrape | Scrape webpage content | $0.002 |
search | Web search (Brave) | $0.001 |
extract_pdf | Extract text from PDF | $0.002 |
generate_pdf | Generate PDF from HTML | $0.003 |
tts | Text-to-speech | $0.001 |
qrcode | Generate QR code | $0.001 |
weather | Current weather data | $0.001 |
crypto_price | Cryptocurrency prices | $0.001 |
shorten_url | URL shortener | $0.001 |
validate_email | Email validation | $0.001 |
Pay-per-use pricing with x402 protocol support.
Setup
Claude Desktop Configuration
Add to your claude_desktop_config.json:
{
"mcpServers": {
"iteratools": {
"command": "npx",
"args": ["mcp-iteratools"],
"env": {
"ITERATOOLS_API_KEY": "it-XXXX-XXXX-XXXX"
}
}
}
}
Smithery (hosted MCP)
Also available as a hosted MCP server on Smithery:
{
"mcpServers": {
"iteratools": {
"url": "https://server.smithery.ai/@iterasoft/iteratools/mcp?api_key=YOUR_KEY"
}
}
}
Getting an API Key
- Visit iteratools.com
- Create a free API key
- Add credits via Stripe
Links
- Website: https://iteratools.com
- API Docs: https://iteratools.com
- Smithery: https://smithery.ai/server/@iterasoft/iteratools
License
MIT
FAQ
- What is the mcp-iteratools MCP server?
- mcp-iteratools 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 mcp-iteratools?
- This profile displays 72 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.7★★★★★72 reviews- ★★★★★Yuki Li· Dec 20, 2024
Useful MCP listing: mcp-iteratools is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Tariq Chen· Dec 16, 2024
Strong directory entry: mcp-iteratools surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Nia Sethi· Dec 16, 2024
According to our notes, mcp-iteratools benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Kofi Khanna· Dec 4, 2024
mcp-iteratools reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Yuki Wang· Dec 4, 2024
We wired mcp-iteratools into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★William Chawla· Nov 23, 2024
mcp-iteratools is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Sophia Gupta· Nov 19, 2024
mcp-iteratools reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Kofi Anderson· Nov 11, 2024
mcp-iteratools is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Anaya Bansal· Nov 11, 2024
According to our notes, mcp-iteratools benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Yuki Zhang· Nov 7, 2024
I recommend mcp-iteratools for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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