添加Pdf读取mcp

pdf-reader-mcp/memory-bank/productContext.md

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+# Product Context: PDF Reader MCP Server
+
+## 1. Problem Solved
+
+AI agents often need to access information contained within PDF documents as
+part of user tasks (e.g., summarizing reports, extracting data from invoices,
+referencing documentation). Directly providing PDF file content to the agent is
+inefficient (large token count) and often impossible due to binary format.
+Executing external CLI tools for each PDF interaction can be slow, insecure, and
+lack structured output.
+
+This MCP server provides a secure, efficient, and structured way for agents to
+interact with PDF files within the user's project context.
+
+## 2. How It Should Work
+
+- The server runs as a background process, managed by the agent's host
+  environment.
+- The host environment ensures the server is launched with its working directory
+  set to the user's current project root.
+- The agent uses MCP calls to invoke specific PDF reading tools provided by the
+  server.
+- The agent provides the relative path to the target PDF file within the project
+  root.
+- The server uses the `pdf-parse` library to process the PDF.
+- The server returns structured data (text, metadata, page count) back to the
+  agent via MCP.
+- All file access is strictly limited to the project root directory.
+
+## 3. User Experience Goals
+
+- **Seamless Integration:** The agent should be able to use the PDF tools
+  naturally as part of its workflow without complex setup for the end-user.
+- **Reliability:** Tools should reliably parse standard PDF files and return
+  accurate information or clear error messages.
+- **Security:** Users should trust that the server only accesses files within
+  the intended project scope.
+- **Efficiency:** Reading PDF data should be reasonably fast and avoid excessive
+  token usage compared to sending raw file content (which isn't feasible
+  anyway).