An MCP server to extract keyphrases from a text with the BERT model
An MCP server to extract keyphrases from a text with the BERT model. Exposed over MCP by the keyphrases mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
This Keyphrases MCP Server is a natural language interface designed for agentic applications to extract keyphrasess from provided text. It integrates seamlessly with MCP (Model Content Protocol) clients, enabling AI-driven workflows to extract keyphrases more accurately and with higher relevance using the BERT machine learning model. It works directly with your local files in the allowed directories saving the context tokens for the LLM. The application ensures secure document processing by exposing only extracted keyphrases to the MCP client, not the original file content.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
You will need one environment variable: ABSOLUTE_FILE_PATH. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. It is maintained by IvanRublev; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Variable | Description | Required |
|---|---|---|
| ABSOLUTE_FILE_PATH | Filesystem location the server is allowed to use. | Optional |
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