# Integrations - [Agentic AI](https://docs.pending.ai/integrations/agentic-ai.md): Use the Pending AI MCP server to boost LLM possibilities - [MCP Server](https://docs.pending.ai/integrations/agentic-ai/mcp-server.md): Connect directly to the Pending AI platform from any AI Agent - [Connectors](https://docs.pending.ai/integrations/agentic-ai/mcp-server/connectors.md): Setup your favourite Agentic AI tool with the Pending AI MCP server - [Claude](https://docs.pending.ai/integrations/agentic-ai/mcp-server/connectors/claude.md) - [ChatGPT](https://docs.pending.ai/integrations/agentic-ai/mcp-server/connectors/chatgpt.md) - [VS Code Github Copilot](https://docs.pending.ai/integrations/agentic-ai/mcp-server/connectors/vs-code-github-copilot.md) - [Troubleshooting](https://docs.pending.ai/integrations/agentic-ai/mcp-server/troubleshooting.md): Detailed overview of MCP-related errors --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.pending.ai/integrations.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.