One MCP Server, Two AI Clients: Wiring Actian VectorAI DB Into Claude and Cursor
MCP promises one server, any AI client. I put that to the test by wiring Actian VectorAI DB up to Claude and Cursor with a single ~230-line Python file, and verified every claim about it at the protocol layer rather than taking anything on faith. Build's public on GitHub . Every AI Client Wants Its Own Plugin Every vector database has its own SDK. Every AI assistant has its own plugin format.…
Actian VectorAI DB offers a single server for any AI client to connect to with ease. The author tested this by integrating VectorAI DB with two AI clients, Claude and Cursor, using a single Python script. Every AI client demands its own plugin, so VectorAI DB removes the need for multiple integrations by serving as a standard interface.
The author built an open protocol that allows any MCP-aware client to access the same server over a standard interface. The MCP server connects to Actian VectorAI DB, takes care of embedding text and searching for results, and never exposes vectors to the large language model. The server runs locally on the same machine, reducing the need for an external connection.
The whole process is demonstrated in a single Python file, with the LLM only receiving plain text, lists, and JSON dictionaries in return. The author concludes that one small MCP server can serve any MCP client, allowing natural language input and semantic search output without any vectors being exposed to the model.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
