What does Project Description do differently from a direct MCP integration?
It adds a PII verification layer between MCP tool results and the LLM, prompting the user to allow or block sharing of sensitive data before the conversation continues.
@pizzaeueu
Basic information
The proxy enables integration between OpenAI chat models and local MCP servers via Function Calling, allowing custom PII checks for sensitive data verification
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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Project Description is a proxy that integrates OpenAI chat models with local MCP servers via function calling, adding custom PII checks for sensitive data verification. It is designed for users who need to control whether sensitive information retrieved from MCP tools is shared with the language model.
Set your OpenAI API key in the OPEN_AI_API_KEY variable and an absolute path to the shared folder in the SHARED_DIRECTORY_ABSOLUTE_PATH variable in the Docker Compose file, then run docker compose up. Open http://localhost:4173/ and start chatting with the model. By default, it works with the filesystem MCP server (pre‑installed as a Docker image), but you can configure other MCP servers by editing data/McpConfig.conf.
It adds a PII verification layer between MCP tool results and the LLM, prompting the user to allow or block sharing of sensitive data before the conversation continues.
OpenAI chat models with tool‑calling support, a Docker environment, and an MCP server (e.g., the filesystem server installed as a Docker image).
User data is stored in‑memory; it is lost on crash or restart, and the app is not horizontally scalable.
PII detection only works for English. If the data retrieved from MCP servers exceeds the LLM’s context window, the app returns an error and stops the dialog. Adding a new MCP server requires a restart.
The proxy does not implement any authentication mechanism. It communicates with MCP servers via the MCP Java SDK and with OpenAI via the OpenAI Java SDK using function calling.

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