2 Commits (f2db55f0c8aac088a1c40d51bc0630f4ef27eb86)

Author	SHA1	Message	Date
Rene Cannao	aced263367	docs: Update MCP documentation to reflect current implementation ... This commit completes a comprehensive review and update of all MCP-related documentation: - Remove deprecated FastAPI POC files - Update Architecture.md to reflect implemented multi-endpoint architecture - Update VARIABLES.md with new AI endpoint authentication - Update Tool_Discovery_Guide.md with discovery and LLM tools - Update FTS_Implementation_Plan.md to reflect implemented status - Update Vector_Embeddings_Implementation_Plan.md to show planned status - Update Database_Discovery_Agent.md to clarify conceptual design status - Update scripts/mcp/README.md with current multi-handler architecture - Update STDIO_BRIDGE_README.md with complete tool list All documentation now accurately reflects the current ProxySQL MCP implementation with 6 dedicated tool handlers and two-phase discovery.	3 months ago
Rene Cannao	2ef44e7c3e	Add MCP implementation plans for FTS and Vector Embeddings ... Comprehensive implementation documentation for two new search capabilities: FTS (Full Text Search): - 6 tools for lexical search using SQLite FTS5 - Separate mcp_fts.db database - Keyword matching and phrase search - Tools: fts_index_table, fts_search, fts_list_indexes, fts_delete_index, fts_reindex, fts_rebuild_all Vector Embeddings: - 6 tools for semantic search using sqlite-vec - Separate mcp_embeddings.db database - Vector similarity search with sqlite-rembed integration - Placeholder for future GenAI module - Tools: embed_index_table, embed_search, embed_list_indexes, embed_delete_index, embed_reindex, embed_rebuild_all Both systems: - Follow MySQL_Catalog patterns for SQLite management - Integrate with existing MCP Query endpoint - Work alongside Catalog for AI agent memory - 13-step implementation plans with detailed code examples	3 months ago