Research MCP Server

The Research MCP Server is a lightweight, purpose‑built platform that extends Claude’s conversational abilities by bridging the gap between AI assistants and structured survey data stored in Notion. By exposing a set of MCP endpoints, the server lets developers treat Notion as a first‑class data source—allowing Claude to read existing survey responses, create new survey pages on demand, and even trigger automated workflows based on the collected information. This eliminates the need for manual data export/import steps, enabling real‑time interaction between users and their survey repositories.

For developers building AI‑powered research tools, the server offers a clear value proposition: it abstracts away the complexities of the Notion API while still providing full CRUD access to database pages. Claude can ask a user for feedback, generate a new survey page with predefined properties, or pull up the latest responses—all through natural language commands. This tight integration is especially useful for iterative research projects where data needs to be updated on the fly or when multiple stakeholders require instant visibility into survey outcomes.

Key capabilities of the server include:

• Survey data retrieval – Query a Notion database and return structured results that Claude can present or analyze.
• Dynamic survey creation – Generate new Notion pages with a customizable schema, allowing researchers to launch fresh studies or add follow‑up questionnaires without leaving the chat interface.
• MCP server compliance – Implements the standard MCP protocol, making it plug‑and‑play with any Claude Desktop client that supports external tools.

Typical use cases span academic research, market analysis, and internal product feedback loops. A researcher might ask Claude to “create a new survey about user satisfaction” and have the server automatically populate a Notion database. Later, the same assistant can summarize all responses in a conversational report or trigger alerts when certain thresholds are crossed. In product teams, the server can serve as a live dashboard that updates with every user interaction, giving stakeholders immediate insights without manual spreadsheet updates.

What sets this MCP server apart is its focused scope and simplicity. By concentrating solely on Notion survey workflows, it offers a minimal configuration path—just a token and database ID—and eliminates unnecessary dependencies. The server’s design prioritizes reliability, ensuring that each MCP call results in a clean, typed response that Claude can interpret without additional parsing logic. This streamlined approach makes it an attractive choice for developers who need a dependable bridge between AI assistants and Notion‑based research data.