Implement corpus indexing and MCP search

tests/test_server.py

@@ -0,0 +1,29 @@
+from pathlib import Path
+
+import pytest
+from mcp.shared.memory import create_connected_server_and_client_session
+
+from corpus_mcp.server import create_server
+
+
+@pytest.mark.anyio
+async def test_mcp_server_exposes_search_and_description(
+    corpus: tuple[Path, Path],
+) -> None:
+    _, database = corpus
+    server = create_server(database)
+
+    async with create_connected_server_and_client_session(
+        server, raise_exceptions=True
+    ) as session:
+        result = await session.call_tool("search_corpus", {"query": "SQLite"})
+        tools = await session.list_tools()
+
+    assert result.isError is False
+    assert result.structuredContent["matches"][0]["path"] == "notes.txt"
+    assert {tool.name for tool in tools.tools} == {
+        "search_corpus",
+        "read_document_excerpt",
+        "corpus_info",
+    }
+    assert "Test documentation" in server.instructions