diff --git a/pyproject.toml b/pyproject.toml
index 611c782..206cbaa 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,5 +1,5 @@
 [build-system]
-requires = ["setuptools>=82.0.1", "wheel"]
+requires = ["setuptools>=83.0.0", "wheel"]
 build-backend = "setuptools.build_meta"
 
 [project]
@@ -27,23 +27,23 @@ keywords = [
     "llm",
 ]
 dependencies = [
-    "lancedb>=0.33,<1",
-    "pylance>=0.10",
-    "pyarrow>=16,<25",
+    "lancedb>=0.34.0,<1",
+    "pylance>=8.0.0",
+    "pyarrow>=24.0.0,<25",
     "numpy>=2.4.6,<3",
     "python-dotenv>=1.2.2,<2",
     "tenacity>=9.1.4,<10",
     "watchdog>=6.0.0,<7",
     "fastembed>=0.8.0,<1",
-    "pathspec>=0.12,<2",
-    "tree-sitter>=0.25.2,<0.26",
+    "pathspec>=1.1.1,<2",
+    "tree-sitter>=0.26.0,<0.27",
     "tree-sitter-python>=0.25.0,<0.26",
     "tree-sitter-javascript>=0.25.0,<0.26",
     "tree-sitter-typescript>=0.23.2,<0.26",
     "tree-sitter-go>=0.25.0,<0.26",
     "tree-sitter-rust>=0.24.2,<0.26",
     "tree-sitter-java>=0.23.5,<0.26",
-    "tqdm>=4.68.2,<5",
+    "tqdm>=4.68.4,<5",
 ]
 
 [project.urls]
@@ -55,46 +55,46 @@ Issues = "https://github.com/Neverdecel/CodeRAG/issues"
 
 [project.optional-dependencies]
 server = [
-    "fastapi>=0.137.1,<1",
-    "uvicorn[standard]>=0.49.0,<1",
+    "fastapi>=0.139.0,<1",
+    "uvicorn[standard]>=0.50.2,<1",
 ]
 ui = [
-    "fastapi>=0.137.1,<1",
-    "uvicorn[standard]>=0.49.0,<1",
+    "fastapi>=0.139.0,<1",
+    "uvicorn[standard]>=0.50.2,<1",
     "jinja2>=3.1.6,<4",
     "pygments>=2.20.0,<3",
 ]
 # MCP server surface: lets AI coding agents (Claude Code, Codex, Cursor) use CodeRAG's
 # index as their retrieval tool instead of slow grep/glob/read loops.
 mcp = [
-    "mcp>=1.9.0,<2",
+    "mcp>=1.28.1,<2",
 ]
 openai = [
-    "openai>=2.41.1,<3",
+    "openai>=2.44.0,<3",
 ]
 # GPU embedding for the local fastembed backend on an NVIDIA box. Installs the CUDA
 # onnxruntime so `CODERAG_EMBED_DEVICE=auto` (or `cuda`) runs embeddings on the GPU —
 # typically 10-50x faster indexing. Install with: pip install 'coderag[gpu]'.
 gpu = [
-    "onnxruntime-gpu>=1.17,<2",
+    "onnxruntime-gpu>=1.27.0,<2",
 ]
 anthropic = [
-    "anthropic>=0.109.2,<1",
+    "anthropic>=0.116.0,<1",
 ]
 all = [
-    "fastapi>=0.137.1,<1",
-    "uvicorn[standard]>=0.49.0,<1",
+    "fastapi>=0.139.0,<1",
+    "uvicorn[standard]>=0.50.2,<1",
     "jinja2>=3.1.6,<4",
     "pygments>=2.20.0,<3",
-    "mcp>=1.9.0,<2",
-    "openai>=2.41.1,<3",
-    "anthropic>=0.109.2,<1",
+    "mcp>=1.28.1,<2",
+    "openai>=2.44.0,<3",
+    "anthropic>=0.116.0,<1",
 ]
 dev = [
-    "ruff>=0.15.17,<1",
+    "ruff>=0.15.20,<1",
     "mypy>=2.1.0,<3",
     "pre-commit>=4.6.0,<5",
-    "pytest>=9.1.0,<10",
+    "pytest>=9.1.1,<10",
     "pytest-cov>=7.1.0,<8",
     "httpx>=0.28.1,<1",
 ]