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mcp-registry

by chun-wei0413

Overview

Provides a RAG-based intelligent knowledge management system for AI assistants to manage development knowledge.

Installation

Run Command
cd servers/context-provisioning && docker-compose up -d

Environment Variables

  • MCP_SERVER_NAME
  • CHROMA_DB_PATH
  • COLLECTION_NAME
  • EMBEDDING_MODEL
  • MCP_SERVER_HOST
  • MCP_SERVER_PORT

Security Notes

The `store_document` and `batch_index_folder` tools allow the AI agent to specify `file_path` and `source_dir` respectively, which can be relative or absolute paths on the server's filesystem. If the AI agent (which is controlled by user prompts) is not sufficiently sandboxed or the prompts are not strictly guarded against path manipulation, this creates a critical Local File Inclusion (LFI) or arbitrary file read vulnerability. An attacker could potentially instruct the AI agent to read sensitive files from the server's host system. This necessitates robust external security measures (e.g., Docker volume restrictions, AppArmor profiles, strict LLM prompt engineering, or an intermediary validation layer) beyond the application's default configuration. The server also binds to 0.0.0.0:3031, requiring firewalling in production.

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Stats

Interest Score0
Security Score4
Cost ClassMedium
Avg Tokens1300
Stars0
Forks0
Last Update2026-01-05

Tags

RAGKnowledge BaseSemantic SearchAI ToolEmbeddings