Frequently Asked Questions
What's the difference between using the MCP server vs the API directly?
The MCP server provides a standardized interface with pre-configured tools that LLMs can call automatically based on your natural language requests. The API requires you to write code and manually configure parameters for each request. MCP server is more suitable for conversational workflows in your IDE or chat interface. You can use the InfraNodus API when building custom applications or automated pipelines where you need precise control over parameters.
Can I use InfraNodus MCP with multiple LLMs at the same time?
Yes! You can install the InfraNodus MCP server in multiple platforms simultaneously. For example, you can have it configured in both Claude Desktop and Claude Web, Cursor IDE, or in both Claude Web and ChatGPT. Each installation is independent, so you can use different API keys or configurations for different platforms if needed.
How many API calls does a typical analysis use?
Most simple operations (generating a knowledge graph, analyzing topical clusters, or identifying content gaps) use 1-2 API calls. More complex workflows like SEO reports that combine search results analysis, search intent analysis, and content comparison may use 3-5 API calls. The MCP server is designed to be efficient, and the LLM will typically batch related operations when possible.
Do I need an InfraNodus account to use the MCP server?
No, you can use the MCP server without an account using the free tier with rate limits. However, having an account and API key provides several benefits: higher rate limits (especially for Advanced, Pro, and Premium subscribers), the ability to save and retrieve knowledge graphs, access to your existing graphs for analysis, and memory/RAG functionality for persistent knowledge storage.
Which AI models can I use with the InfraNodus MCP server?
The MCP server works with any LLM client that supports the Model Context Protocol, including Claude Desktop, Claude Web, ChatGPT (Developer Mode), Cursor, VSCode with MCP extensions, Windsurf AI, Claude Code, and automation platforms like n8n. The protocol is LLM-agnostic, so as more platforms add MCP support, they'll automatically work with InfraNodus.
What happens if I exceed my API rate limit?
You'll receive a "Rate limit exceeded" error. Free tier users can either wait for the rate limit to reset or upgrade to an Advanced, Pro, or Premium plan for higher limits. If you're using Smithery without an InfraNodus API key, you can add your API key in the Smithery configuration settings, then disconnect and reconnect the server to apply the changes.
Can I customize or add new tools to the MCP server?
Yes! If you install the MCP server locally (via git clone), you can modify existing tools or create new ones using our API documentation as a reference. The MCP server is open source, so you can extend it to fit your specific needs. If you'd like to request new tools without coding, submit requests via our support portal or GitHub repository.
What if the LLM uses the wrong tool or doesn't use InfraNodus tools?
Sometimes LLMs may choose different tools or not recognize when InfraNodus tools would be helpful. To ensure the right tools are used, explicitly mention InfraNodus in your prompt: "Use InfraNodus to analyze this text" or "Generate an SEO report using the InfraNodus MCP server." If this continues to be an issue, please let us know so we can improve the tool descriptions.
How are MCP servers different from Claude Skills?
Skills is a feature available in Claude Desktop and Web which allows you to write extended prompts with code blocks to perform specific tasks. The models automatically select which skills to use depending on context. Theoretically, you could write a skill that references the InfraNodus API, but it would be less structured and prone to bugs. It is better to use skills for high-level tasks and MCP servers for specific interactions with the InfraNodus API or other external tools.
Troubleshooting
Issue: "Rate limit exceeded"
Solution: Free accounts have limited API calls. Upgrade to Advanced, Pro, or Premium for higher limits.
Issue: MCP server not appearing in Claude/Cursor
Solution: Restart the application completely after editing the config file.
Issue: "API key not found"
Solution: For some configurations (e.g. local installation using npx) you can use the MCP server for free for the first few iterations. Then you'll need to log in to InfraNodus and get your API key on the InfraNodus API Access page. Add this key to your client's MCP settings in the ENV field or re-authorize if using the URL server mcp.infranodus.com.
Issue: Wrong tools are used
Solution: Ask your LLM explicitly to use the InfraNodus tool in the prompt and let us know about this issue.