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Agentic AI System with MCP Integration

document_reader_mcp.py1.66 kB
import os from mcp.server.fastmcp import FastMCP import PyPDF2 mcp_docs = FastMCP("document_reader_mcp") DOCUMENT_DIRECTORY = os.getenv("DOCUMENT_DIRECTORY", "docs") @mcp_docs.tool() async def list_documents() -> str: """List the names of the documents in the research docs directory.""" try: files = [f for f in os.listdir(DOCUMENT_DIRECTORY) if os.path.isfile(os.path.join(DOCUMENT_DIRECTORY, f))] if files: return "Available documents:\n" + "\n".join(files) else: return "No documents found in the specified directory." except FileNotFoundError: return f"Error: Directory not found at {DOCUMENT_DIRECTORY}" except Exception as e: return f"An error occurred: {e}" @mcp_docs.tool() async def read_pdf_document(filename: str) -> str: """Read the text content of a specified PDF document. Args: filename: The name of the PDF document to read. """ filepath = os.path.join(DOCUMENT_DIRECTORY, filename) try: with open(filepath, 'rb') as file: reader = PyPDF2.PdfReader(file) text = "" for page in reader.pages: text += page.extract_text() + "\n" # Add newline for better formatting return f"Content of '{filename}':\n\n{text}" except FileNotFoundError: return f"Error: Document '{filename}' not found." except Exception as e: return f"An error occurred while reading '{filename}': {e}" if __name__ == "__main__": print("Starting document reader MCP server...") mcp_docs.run(transport='stdio') print("Document reader MCP server is running...")

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