proxysql

Commit Graph

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.	1 month 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	1 month ago

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.

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

2 Commits (ade0130e67e88b9052d0dc4e76d48d98d3328485)