Glide API MCP Server

The Glide API MCP Server bridges the gap between AI assistants and Glide’s powerful low‑code data platform. By exposing a suite of tools that mirror the core operations of Glide’s API (v1 and v2), it lets developers treat Glide as a first‑class data source in any AI workflow. Whether you’re building a chatbot that needs to read from or write to a Glide table, or automating data pipelines in a conversational interface, this server provides the seamless, type‑safe plumbing required to keep everything reliable and secure.

At its core, the server solves a common pain point: securely exposing third‑party APIs to AI agents without hard‑coding credentials. Instead of embedding an API key in code that could be accidentally committed or leaked, the server pulls credentials from environment variables defined in the MCP settings file. This design keeps secrets out of version control, simplifies key rotation, and allows multiple environments (dev, staging, prod) to share the same server configuration while pointing at different Glide apps or API versions. The optional tool gives runtime flexibility, enabling an assistant to switch between Glide v1 and v2 on the fly without redeploying.

Key capabilities are grouped into intuitive tools that map directly to Glide operations:

• Configuration: lets you choose the API version and provide a key for the current session.
• Read: , , and retrieve metadata or row data, enabling an assistant to present up‑to‑date information.
• Write: and allow creation or modification of records, giving conversational agents the ability to act on user input.

Because each tool is fully typed and wrapped in comprehensive error handling, developers can rely on clear, actionable responses from the server. If an API call fails, the assistant receives a descriptive error instead of a generic stack trace, improving debugging and user experience.

Typical use cases include:

• Conversational data entry: A customer support bot that asks for user details and writes them directly to a Glide table.
• Dynamic reporting: An analytics assistant that pulls the latest sales figures from Glide and presents them in natural language.
• Workflow automation: A scheduling helper that reads available slots from a Glide calendar table, lets the user pick one, and updates the record to mark it booked.

Integration is straightforward: an AI client simply calls with the appropriate server and tool names, passing any required arguments. The MCP runtime handles authentication, request routing, and response parsing, so the developer focuses on business logic rather than low‑level HTTP plumbing. This modular approach makes it easy to swap in other MCP servers or extend the Glide server with custom tools as new API features arrive.