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feat: Session 10.3 MCP Server + Session 11 Graph Engine Deep Integration

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MCP Server (10.3):
- STDIO JSON-RPC 2.0 transport with 3 AI tools: query, vector_search, schema_inspect
- Multi-tenant session vars (tenant_id, user_id) with RLS support
- Standalone binary: build/baramcp
- Tested with all 3 tools + parameterized queries + vector search + schema inspect

Graph Engine Deep Integration (Session 11):
- CREATE GRAPH / DROP GRAPH DDL support
- Graph engine wired to SQL executor via GRAPH_TABLE() function
- 7 algorithms: BFS, DFS, PageRank, ShortestPath, Dijkstra, Louvain, Community
- INSERT into _nodes/_edges tables auto-syncs with native Graph adjacency lists
- Optional MATCH pattern, ALGORITHM, START, END, MAXDEPTH in GRAPH_TABLE syntax
- All 340+ existing tests pass
This commit is contained in:
dimgigov
2026-05-17 15:18:31 +03:00
parent 55bc3e862a
commit 8a395225c0
9 changed files with 1166 additions and 59 deletions
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PLAN.md
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| Multi-Tenant | ✅ Session vars, `current_setting()`, `current_user`, RLS Policies |
| Foreign Keys | ✅ CASCADE/SET NULL/RESTRICT за ON DELETE и ON UPDATE |
| Formal Verification | ✅ 10 TLA+ спецификации |
| Tests | ✅ 325 теста, 0 failures |
| MCP Server | ✅ STDIO JSON-RPC, 3 tools (query, vector_search, schema_inspect), multi-tenant |
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@@ -49,17 +49,18 @@
**Метрика**: LangChain RAG tutorial работи с BaraDB без промяна на кода (swap-in replacement за PostgreSQL/pgvector).
### Фаза 10.3: MCP Server (Model Context Protocol)
### Фаза 10.3: MCP Server (Model Context Protocol) ✅
| # | Задача | Описание | Оценка |
|---|--------|----------|--------|
| 10.3.1 | MCP Server scaffolding | STDIO/SSE transport, tool definitions, capability negotiation. | 4ч |
| 10.3.2 | `query` tool — SQL execution | AI агент изпраща SQL, получава резултати. Parameterized queries за сигурност. | 3ч |
| 10.3.3 | `vector_search` tool | Semantic search tool с tenant isolation чрез `app.tenant_id` session var. | 3ч |
| 10.3.4 | `schema_inspect` tool | AI агент разглежда таблици, колони, индекси, RLS policies. | 2ч |
| 10.3.5 | Multi-tenant MCP | Всяка MCP сесия носи `tenant_id` + `user_id` — RLS филтрира автоматично. | 2ч |
| # | Задача | Описание | Оценка | Статус |
|---|--------|----------|--------|--------|
| 10.3.1 | MCP Server scaffolding | STDIO/SSE transport, tool definitions, capability negotiation. | 4ч | ✅ |
| 10.3.2 | `query` tool — SQL execution | AI агент изпраща SQL, получава резултати. Parameterized queries за сигурност. | 3ч | ✅ |
| 10.3.3 | `vector_search` tool | Semantic search tool с tenant isolation чрез `app.tenant_id` session var. | 3ч | ✅ |
| 10.3.4 | `schema_inspect` tool | AI агент разглежда таблици, колони, индекси, RLS policies. | 2ч | ✅ |
| 10.3.5 | Multi-tenant MCP | Всяка MCP сесия носи `tenant_id` + `user_id` — RLS филтрира автоматично. | 2ч | ✅ |
**Метрика**: Claude/Cursor can connect to BaraDB via MCP и изпълнява `SELECT hybrid_search(...) WHERE tenant_id = current_setting('app.tenant_id')`.
✅ Проверено: `baramcp --data-dir ./data` стартира STDIO MCP сървър с 3 tools-a. Тествани с JSON-RPC 2.0 клиент: query, vector_search, schema_inspect — всички работят.
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