Run mattermost-search MCP over shared HTTP and fix FTS hangs.

Avoid per-agent stdio contention on the sqlite index, sort FTS by rank with created tie-break, and add mm_search_tag for dated #plan/#report substring search.

Co-authored-by: Cursor <cursoragent@cursor.com>

mm_users.py

@@ -160,7 +160,9 @@ def refresh_user_directory(
     config_path: Optional[str] = None,
     from_api: bool = False,
 ) -> Dict[str, Any]:
-    conn = sqlite3.connect(db_path)
+    from mm_search import open_db
+
+    conn = open_db(db_path, readonly=False, timeout=30.0)
     ensure_users_schema(conn)
     sources: List[str] = []
     profiles: List[Dict[str, str]] = []
@@ -256,12 +258,16 @@ def search_users(
     if not ref:
         return []
 
-    conn = sqlite3.connect(db_path)
-    conn.row_factory = sqlite3.Row
-    ensure_users_schema(conn)
-    rows = conn.execute(
-        "SELECT username, first_name, last_name, nickname, full_name FROM users"
-    ).fetchall()
+    from mm_search import open_db
+
+    conn = open_db(db_path, readonly=True)
+    try:
+        rows = conn.execute(
+            "SELECT username, first_name, last_name, nickname, full_name FROM users"
+        ).fetchall()
+    except sqlite3.Error:
+        conn.close()
+        return []
     conn.close()
 
     matched = [
@@ -288,12 +294,16 @@ def resolve_user(db_path: str, ref: str) -> Dict[str, Any]:
     if not ref:
         raise ValueError("ref must be non-empty")
 
-    conn = sqlite3.connect(db_path)
-    conn.row_factory = sqlite3.Row
-    ensure_users_schema(conn)
-    rows = conn.execute(
-        "SELECT username, first_name, last_name, nickname, full_name FROM users"
-    ).fetchall()
+    from mm_search import open_db
+
+    conn = open_db(db_path, readonly=True)
+    try:
+        rows = conn.execute(
+            "SELECT username, first_name, last_name, nickname, full_name FROM users"
+        ).fetchall()
+    except sqlite3.Error:
+        conn.close()
+        return {"found": False, "ref": ref, "matches": [], "error": "users table missing; run mm_user_directory_refresh"}
     conn.close()
 
     best = [row for row in rows if _match_score(ref, row) > 0]